Trabajos computer software en Reino Unido

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Shape how hundreds of thousands of UK investors use data to make confident, informed investment decisions. Join a team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at scale. You'll work with contemporary lakehouse and streaming patterns, strong engineering practices, and a culture that values ownership and continuous improvement. This role offers meaningful scope to influence platform standards and mentor others while growing your technical and leadership impact. \n Job summary \n As a Lead Data Engineer at JPMorgan Chase within Personal Investing, you will design, build, and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoten applications. You will help us deliver reliable, scalable, observable, and secure data solutions by applying strong software engineering fundamentals and modern data engineering patterns. You'll work closely with partners across product, analytics, and engineering to translate business needs into resilient technical designs. You'll also contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. \n Job responsibilities \n\n • Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt\n, • Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability\n, • Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations\n, • Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads\n, • Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design\n, • Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform components\n, • Containerize and deploy services using Docker and Kubernetes (and related tooling such as Helm)\n, • Collaborate with analysts, data scientists, and application teams to turn requirements into technical designs and delivered solutions\n, • Own critical data systems by improving reliability, scalability, security, and operational excellence\n, • Mentor junior engineers and influence the team's technical direction through standards, reviews, and knowledge sharing\n\n Required qualifications, capabilities, and skills \n\n • Degree in Computer Science or a STEM-related field (or equivalent)\n, • Demonstrated experience delivering in an agile, fast-paced engineering environment\n, • 8 years of recent, hands-on professional experience actively coding as a data engineer\n, • Strong software engineering fundamentals (system design, data structures, object-oriented programming, testing strategies, and end-to-end development lifecycle)\n, • Strong Python programming skills, including unit and integration testing\n, • Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)\n, • Experience with large-scale distributed data processing and performance tuning\n, • Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)\n, • Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)\n, • Experience designing and operating orchestration pipelines using Airflow or similar tools\n, • Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems\n\n Preferred qualifications, capabilities, and skills \n\n • Data modeling experience for analytics and reporting use cases\n, • Knowledge of security, risk, compliance, and governance considerations for data platforms\n, • Experience building continuous integration and continuous delivery automation for data and platform services\n, • Experience with container-based deployment environments (Docker, Kubernetes, etc.)\n, • Demonstrated ability to coach teammates on engineering practices and contribute to a collaborative, inclusive team culture\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 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Forward Deployed Engineer (FDE) in the Google Cloud organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 5 years of experience with software development using Python or similar coding languages.\n, • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\n, • Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).\n, • Experience leading technical discovery sessions with customers.\n, • Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\n, • Experience in a post-sales or technical consulting delivery function.\n, • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n, • Excellent communication skills, and proven experience enabling technical teams on Agentic AI, at scale.\n\n Responsibilities: \n\n • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).\n, • Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\n, • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.\n, • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\n, • Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence \n The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. \n The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. \n \n Job Responsibilities \n\n • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community\n, • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, LLMs or recommendation systems\n, • Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals.\n, • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production\n, • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business\n\n \n Required qualifications, capabilities, and skills \n\n • Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods\n, • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field\n, • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)\n, • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals\n, • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.\n, • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments\n, • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems\n\n \n Preferred qualifications, capabilities, and skills \n\n • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development\n, • Knowledge in search/ranking, Reinforcement Learning or Meta Learning\n, • Expertise in recommendation systems\n, • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\n, • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal \n \n\n About MLCOE \n The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning \n \n For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. To learn about how we're using AI/ML to drive transformational change, please read this blog: https://www.jpmorgan.com/insights/technology/technology-blog?source=cib_... \n \n The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. \n \n \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 \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 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. \n Project Contractor \n Project Contractor \n Senior Data Engineer, Anti-Fraud Technology \n Manchester OR London \n Contract \n Purpose \n Technology, at the forefront of cybersecurity \n Vanguard manages over $11 trillion in assets across the globe, and with this comes an immense responsibility to safeguard our clients’ funds from bad actors. As a digital-first company, our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform. Join an established cybersecurity-focused development team for Vanguard Europe and be on the cutting edge of implementing a suite of tools to protect hundreds of thousands of clients across the UK & Europe. \n In this role you will: \n\n • Be creative with solutions for business needs, it’s important that we consider our options outside of what is already being done. We want to build resilient, future-proof novel solutions.\n, • Aid with the design and implement of pipelines for real-time analysis and critical decision making for operational systems.\n, • Build ELT pipelines, from source to presentation of data to our internal customers.\n, • Write high quality, testable and readable code, assist with code reviews, provide solution design input, build automated tests, create documentation, and other tasks throughout the development lifecycle. \n, • Collaborate closely with junior and senior developers, scrum master, and product owner to ensure the data is enabling our client experience.\n, • Identify and help implement continuous improvement of technical standards, methodologies, technologies, and processes.\n, • Own the deployment and operations of the system across environments from development, test, and through to production.\n, • Participate in agile meetings aligned to the scrum framework: sprint planning, daily scrums, sprint review, sprint retrospective.\n\n Qualifications we’re looking for: \n A bachelor’s degree in computer science, STEM or related discipline is a plus, but not strictly required. \n Experience as a data engineer. \n Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred). \n Proficient using transformation tools such as PySpark/Pandas. \n Knowledge and practice of graph databases is preferred but not required. \n Key responsibilities/ Skills and experience \n Familiarity using data quality frameworks, ie. Great Expectations. \n Experience building cloud infrastructure using IaC (CloudFormation/Terraform). \n Demonstrable understanding of industry standards and best practices as it relates to development methodology such as testing, code quality and consistency. \n Great communication skills: the ability to bridge the gap between the technical and non-technical across various communication channels. \n An understanding of agile software development methodology, with scrum framework experience preferred. \n A desire to continuously learn and develop yourself in both technical and non-technical skillsets. \n Working at Vanguard \n We offer an attractive base salary, annual performance bonus (paid in January), partnership bonus (paid in June), and competitive benefits. Our hybrid working model includes office days on Tuesday, Wednesday, and Thursday, with remote work on Monday and Friday. \n Why Vanguard? \n Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. \n This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments. \n It's what we stand for: value to investors. \n Inclusion Statement \n Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.” \n We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values. \n When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. \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 Google to connect them with exceptional professionals for this role. \n As a Manager of a Google Cloud Consulting - Forward Deployed Engineering (FDE) team, you will lead a squad of atificial intelligence and machine learning (AI/ML) engineers who bridge the gap between AI products and production-grade reality within customers. You will be responsible for a team that doesn't just consult, but codes, debugs, and jointly deploys bespoke agentic solutions directly within customer environments. \n In this role, you will provide technical mentorship to your team, managing high-level alignment with Product, Engineering, and Google Cloud Regional Sales leadership. Your mission is to empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management issues that hinder AI from achieving enterprise-grade maturity.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. \n Minimum qualifications: \n\n • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.\n, • 8 years of experience in cloud computing or a technical customer-facing role, with experience in Python.\n, • 2 years of experience managing a software engineering, forward deployed engineering, or a similar technical customer-facing team in a cloud computing environment.\n, • Experience developing AI/Generative AI solutions utilizing AI tools and designing multi-agent workflows and RAG systems.\n, • Experience in people management.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.\n, • Experience in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.\n, • Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (ReAct, self-reflection, etc.), state management, and tool-calling protocols.\n\n Responsibilities: \n\n • Serve as the ultimate technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.\n, • Partner with sales and tech leadership to define requirements for high-value opportunities, deploying specialized experts (Machine Learning Operations (MLOps), Generative Media (GenMedia), or Agentic systems) to key accounts.\n, • Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build an engineering squad.\n, • Identify skill gaps in emerging tech (Model Context Protocol (MCP), tool-calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.\n, • Collaborate with product and engineering to resolve blockers and translate field insights into roadmaps, building internal tools to drive organizational efficiency.\n

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Senior Vice President, Senior Software Engineering, Developer Experience to join our Developer Experience (DevEx) team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • Lead, mentor, and manage a high-performing Build Engineering team, setting clear technical direction and career growth paths.\n, • Oversee the architecture and implementation of BNY’s central build automation platform, ensuring high availability, reliability, and security.\n, • Create developer-friendly templates, quick start guides, and troubleshooting tools to help feature teams quickly create performant, transparent, and compliant build automation.\n, • Optimize developer workflows by streamlining build orchestration, dependency management, and CI/CD pipelines to accelerate software delivery while reducing friction.\n, • Drive observability and resilience by integrating telemetry, analytics, and automated remediation into build systems to proactively identify and resolve bottlenecks and failures.\n, • Champion secure software supply chain practices, artifact management standards, and consistent build strategies across the enterprise.\n, • Partner closely with Product Management, SRE, Security, and application engineering teams to ensure alignment with developer needs and organizational priorities.\n, • Foster innovation by evaluating and adopting emerging technologies, including AI-assisted build optimization and intelligent failure diagnosis.\n, • Define and track key metrics such as build success rate, duration, cost efficiency, adoption rates, and developer satisfaction to continuously improve the platform.\n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred\n, • Expert-level competency in one or more modern programming languages (e.g., Java, Go, JavaScript, Python).\n, • Proven expertise with modern build automation and CI/CD tools (e.g., GitHub Actions, GitLab CI/CD, Jenkins, Bazel, Gradle, Maven).\n, • Strong technical leadership skills with the ability to set architectural direction and drive complex initiatives across teams.\n, • Experience delivering large-scale, mission-critical developer platforms in an enterprise or high-scale environment.\n, • Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives.\n\n Preferred qualifications include: \n\n • Background in Developer Experience (DevEx), Platform Engineering, or Build/Release Engineering.\n, • Experience with artifact repositories (e.g., Artifactory, Nexus) and secure software supply chain practices.\n, • Knowledge of observability systems, telemetry frameworks, and performance optimization for build pipelines.\n, • Exposure to AI/ML-driven build acceleration and failure prediction tooling.\n, • Prior hands-on software development experience building customer-facing features.\n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

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 Senior Lead Software Engineer at JPMorganChase within the Equities Sales and Trading Technology, 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 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\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on software engineering concepts and 5+ years of applied experience\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, • Practical cloud native experience\n, • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field\n\n Preferred qualifications, capabilities, and skills \n\n • Expertise in React 17+ and modern front-end development practices\n, • Experience with AG Grid or similar advanced data grid libraries\n, • Proven ability to optimize web applications for performance and responsiveness\n, • Familiarity with handling high-frequency data updates in UI applications\n, • Strong understanding of application profiling and tuning techniques\n, • Knowledge of AI integration or cloud technologies, especially AWS\n, • Experience working in fast-paced, agile environments within 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 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 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 About the role: \n We are looking for a Senior Software Engineer to join our Send Core team. \n We provide the critical infrastructure that every sending transaction flows through - from 10 pounds sent to a friend to a multi-million dollar business payment. We are on a mission to make sending money as easy and fast as paying for groceries with your card. \n Apart from keeping our core infrastructure in a good shape, we are building customer-facing products that power the customer's send journey. \n How we work: \n We believe that an engineer is more than just a coder. Our engineers are focused on improving our customers’ experience - and they see the impact of their work on millions of people every day. \n Wise is all about collaboration. You will be surrounded by passionate people and work together with them to progress our mission. \n What will you be working on? \n\n • \n Shape our Products: Collaborate with product, design, and data teams to deliver best experience for our customers \n • \n Control Critical Infrastructure: Own the systems that every sending transactions depends on across the entire platform \n • \n Drive Technical Excellence: Make architectural decisions for the core send components, making them reliant and performant \n • \n Drive Backend and Frontend for our products: You will be working 80% of the time on a backend and 20% on the frontend \n • Curiosity to explore ways to improve our products and your day-to-day work\n\n What do you need? \n We understand that you may not have much experience in our stack, or you haven’t worked with the frontend for a while - and that’s fine! As long as you are willing to learn and have strong fundamentals - we want to hear from you. \n Technical excellence \n\n • \n Strong experience in building complex high-reliability systems \n • \n Ability to communicate complex technical concepts clearly and simply \n • Strong computer science fundamentals\n\n Product mindset \n\n • \n Focus on solving real customer problems with every change you made \n • \n Clear understanding of why we are building what we are building \n • Ability to think in product terms - not just on the code level\n\n Personal qualities \n\n • \n Passion to always learn and grow \n • Getting things done yourself, instead of waiting to be told what to do\n\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 Starting salary: £111k - £145k + RSUs \n Wise Benefits \n #LI-AB3 #LI-Hybrid \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 Google to connect them with exceptional professionals for this role. \n At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. \n From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. \n Research Engineers at DeepMind are the bridge between ambitious research ideas and functional, large-scale systems. You will work in close collaboration with Research Scientists to design, build, and scale the infrastructure, models, and tools necessary to drive groundbreaking research in machine forecasting. \n Acting as a generalist engineer, you will navigate diverse parts of our codebase and pipeline to transform research hypotheses into robust, high-performance experiments. Your work will focus on scaling LLM agent architectures, optimizing inference and serving for complex reasoning workflows, engineering reinforcement learning pipelines, and building contamination-immune evaluation platforms. Your technical contributions will enable the team to make rapid, empirically driven progress toward autonomous systems that can reliably anticipate future events and reason under uncertainty. \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 • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.\n, • 2 years of industry experience as a Research Engineer (RE) or Software Engineer (SWE).\n, • 2 years of experience building in Python.\n, • 2 years of experience with LLM agents, LLM inference/serving, reinforcement learning for LLMs, or multi-agent orchestration.\n, • Experience building 0-to-1 systems, pipelines, and scalable infrastructure.\n\n Preferred qualifications: \n\n • Experience engineering search and retrieval pipelines, time-series workflows, or simulation environments with synthetic data generators.\n, • Experience working alongside research teams to convert groundbreaking, open-ended research ideas into robust prototypes and production-grade products.\n, • A demonstrated interest in judgemental forecasting, decision-making under uncertainty, prediction markets, or AI safety and calibration.\n, • \n A track record of impactful work, demonstrated through publications, open-source contributions, or shipped products and scalable engineering systems. \n • Expertise in using modern AI tools to design, debug, and build complex software systems efficiently.\n\n Responsibilities: \n\n • Design, build, and own 0-to-1 infrastructure for frontier forecasting systems, multi-agent workflows, and structured reasoning pipelines.\n, • Develop and scale training and inference pipelines, implementing novel reinforcement learning methods, process-based reward loops, and self-improvement algorithms.\n, • Build robust tooling and retrieval harnesses, enabling agents to navigate temporal data, execute code sandboxes, and filter unstructured information without temporal leakage.\n, • Engineer contamination-immune evaluation platforms to test model calibration, logical coherence across beliefs, and performance in simulated or live environments.\n, • Leverage and integrate modern AI coding tools (e.g., AGY, Claude Code, Cursor) to accelerate development cycles and rapidly robustify experimental research prototypes into production-ready systems.\n

hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. \n The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. \n This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands-on delivery leadership – and who has a genuine passion for bringing AI solutions to production at scale. \n Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. \n What you will be doing \n As a Senior Manager in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. \n Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that. \n Key responsibilities span the following areas. \n Engagement Leadership: \n\n • Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes. \n\n\n, • Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development. \n\n\n, • Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners. \n\n\n, • Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout. \n\n\n, • Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation. \n\n\n, • Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead. \n\n Business Development & Bid Support: \n\n • Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements. \n\n\n, • Contribute to proposal writing, articulating Baringa’s capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs. \n\n\n, • Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow-on engagement. \n\n\n, • Support practice-level growth initiatives, including account planning, capability development, and go-to-market positioning for AI and solutions engineering services. \n\n Technical Architecture & Delivery: \n\n • Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities. \n\n\n, • Provide hands-on technical direction where required – reviewing designs, code and delivery artefacts to maintain quality standards across the engagement. \n\n\n, • Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof-of-concept thinking to real business impact at scale. \n\n\n, • Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record. \n\n AI/ML Specialism \n You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: \n Agentic AI & LLM Engineering: \n\n • Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. \n\n\n, • Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. \n\n Machine Learning Engineering: \n\n • End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. \n\n\n, • Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). \n\n Platform & Cloud Engineering: \n\n • Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event-driven architectures and CI/CD. \n\n\n, • Track record of delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices. \n\n Software Engineering: \n\n • Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR. \n\n\n, • Cloud architecture design capability across major providers; rounded understanding of database trade-offs – relational, NoSQL, graph and caching strategies. \n\n\n, • Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development. \n\n\n, • A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. \n \n\n Your Skills and Experience \n We're seeking a technically credible, commercially aware leader who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale – and who can inspire a team and a client with that same passion. \n\n • 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role – including direct accountability for end-to-end engagement delivery, resourcing and commercial outcomes. \n\n\n, • Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs. \n\n\n, • SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering – with strong architecture and design capability across cloud, data and AI domains. \n\n\n, • Proven ability to build and lead high-performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director level. \n\n\n, • Clear, confident communicator – able to make the complex accessible for technical and non-technical audiences alike, and to represent Baringa’s expertise with credibility. \n\n\n, • Master’s degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). \n\n\n, • Desirable: prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. \n\n If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people-first culture that values both technical rigour and human connection we would love to hear from you.

hackajob is collaborating with Sierra to connect them with exceptional professionals for this role. \n About us \n\n • \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. \n • \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n • \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n What you'll do \n As a member of our Agent Strategist function at Sierra, you will be responsible for partnering with our Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day. \n You’ll play a central role in agent development, combining product strategy, conversational design, and customer insight to bring high-quality agents to life. \n\n • \n Be a trusted advisor to our customers and drive their AI strategies. \n • \n Build, design and refine conversational AI agents, gaining direct exposure to how these products are developed and improved. \n • \n Drive execution and delivery of multiple complex, high-visibility agent development projects. \n • \n Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process. \n • \n Ensure clear communication across all stakeholders while developing strong relationships. \n • \n Contribute data-driven, strategic insights to customers and internal team decisions. \n\n What you'll bring \n\n • \n Outstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity. \n • \n Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents. \n • \n Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products. \n • \n Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents. \n • \n Foundational Expertise: \n \n • \n Degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience that demonstrates comparable expertise is a strong plus. \n • \n MBA or comparable experience at the intersection of technology and operations is another strong plus. \n \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. \n We are modifying third-party content at every level, and inserting new content and ads into that stream. Publishers are placing an exceptional degree of trust in Google by allowing us to influence the entire page and user journey under their brand, and you will be proposing, designing, and delivering engineering solutions to the many challenges. \n This requires a flexible approach to working on problems across multiple programming languages and systems, from pipelines to application layer to UI. \n Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. \n Minimum qualifications: \n\n • Bachelor’s degree or equivalent practical experience.\n, • 5 years of experience with software development in one or more programming languages.\n, • 5 years of experience with full stack development, across back-end such as Java, C++, Android, iOS codebases, and front-end experience including JavaScript or TypeScript.\n, • 3 years of experience testing, maintaining, or launching software products.\n\n Preferred qualifications: \n\n • Master's degree or PhD in Computer Science or related technical field.\n, • 5 years of experience with data structures and algorithms.\n, • Experience with statistical inference, control theory, Ad targeting, or language modeling.\n, • Background in or deep understanding of web browsers and the broader web ecosystem.\n\n Responsibilities: \n\n • Develop a deep understanding of the Web ecosystem: how sites are developed and monetized, and how to provide a fair exchange of users with content and ads.\n, • Investigate innovative technical solutions to these challenges, especially bringing Google's cutting-edge AI out of the lab and into real apps with billions in annual revenue at stake. This work can involve anything from big data pipelines to meticulous pixel-level analysis of web content, and thinking from backend to frontend and back again to make everything work smoothly together.\n, • Design, build, roll out, and monitor systems that implement these solutions.\n, • Work with a great engineering team alongside partners from UX, Product, Sales and more, to keep Google as a trusted partner for many existing and future websites.\n

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Senior Vice President, Product Design Manager to join our team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • As subject matter expert, actively fine-tune your expertise in the field and regularly use professional concepts to resolve complex issues facing the team, and occasionally cross functional partners. \n, • Determines methods and procedures on new assignments and may coordinate activities of others. \n, • Comprehensive consultation to management and staff related to user research, usability testing, surveys, interviews, work studies, and heuristic evaluations. \n, • Reviews documentation of research findings presented to product and development teams. \n, • Defines and reviews new and modified user personas. \n, • Participates and provides guidance in the creation of concepts, information architecture, user interface designs, wireframes, storyboards, prototypes, and specifications to meet project schedules. \n, • Leads the implementation of visual styles that support platform branding to increase user effectiveness. \n, • Consults on and interprets user feedback and insights to improve the user experience. \n, • Serves as reviewer of usability activities and artifacts to ensure software applications meet customer expectations for use. \n, • Provides UX expertise to the product definition and evaluation process utilizing multiple sources of information (field work, interviews, internet, intranet, market data/literature). \n, • Acts as principal consult and leads the creation and updating of user interface and visual design guidelines and standards. \n, • Advocates for user-centered design and the value of standardized design systems across the firm and facilities training for groups outside the UX team. \n, • Ensures that the developed/revised product achieves the user's specified goals by establishing user-centered analysis, design, best practices, and standards. \n, • Lead range of complex projects that dictate team success, with internal and cross-functional outcomes that requires in-depth analysis and evaluation of variable factors. \n, • Builds strong relationships with people on their immediate team and across the company. Should know key stakeholders and peers to understand connection of their own work. Creates formal networks with key decision makers and cross-functional partners.\n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor's degree in psychology, user experience, design, human computer interaction or a related discipline, or equivalent work experience required\n, • Advanced degree preferred \n, • Experience in the securities or financial services industry is a plus.\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Forward Deployed Engineer (FDE) in the Google Cloud organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 8 years of experience with software development using Python or similar coding languages.\n, • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\n, • Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).\n, • Experience leading technical discovery sessions with customers.\n, • Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\n, • Experience in a post-sales or technical consulting delivery function.\n, • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n, • Strong communication skills, and proven experience enabling technical teams on Agentic AI, at scale.\n\n Responsibilities: \n\n • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).\n, • Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\n, • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.\n, • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\n, • Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. \n Our team has a decade-long track record of successfully bringing ML ideas from theory to practice in the world of online ads. We have made it much easier for small and medium-sized content creators to grow their web businesses in various interesting ways, automate A/B experiments and applying Gemini to deeply understand their site and generate additional content for them to monetize. \n We are a full-stack team and we own everything from scaled AI pipelines to end-user UIs seen by billions of users. \n Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. \n Minimum qualifications: \n\n • Bachelor’s degree or equivalent practical experience.\n, • 5 years of experience with full stack development, across back-end such as Java, C++, Android, iOS codebases, and front-end experience including JavaScript or TypeScript.\n, • 3 years of experience testing, maintaining, or launching software products.\n, • 3 years of experience with software design and architecture.\n, • Experience in Machine Learning.\n\n Preferred qualifications: \n\n • Master's degree or PhD in Computer Science or related technical field.\n, • 5 years of experience with data structures and algorithms.\n, • 1 year of experience in a technical leadership role.\n, • Experience in Big Data.\n\n\n\n Responsibilities: \n\n • Develop a deep understanding of the app ecosystem: how apps are developed, how app developers make money, and what the future holds with thousands of new vibe-coded apps being launched every day.\n, • Investigate innovative technical solutions to these challenges, especially bringing Google's AI out of the lab and into real apps with billions in annual business at stake. This work can involve anything from big data pipelines to meticulous pixel-level analysis of apps, and comprehensive thinking from back-end to front-end to make everything work smoothly together.\n, • Design, build, roll out, and monitor systems that implement these solutions.\n, • Work with a great engineering team alongside partners from UX, Product, Sales and more, to keep Google AdMob as a trusted partner for many existing and future apps.\n

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 Sierra to connect them with exceptional professionals for this role. \n About us \n\n • \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. \n • \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n • \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n What you'll do \n As a member of our Agent Strategist function at Sierra, you will be responsible for partnering with our Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day. \n You’ll play a central role in agent development, combining product strategy, conversational design, and customer insight to bring high-quality agents to life. \n\n • \n Be a trusted advisor to our customers and drive their AI strategies. \n • \n Build, design and refine conversational AI agents, gaining direct exposure to how these products are developed and improved. \n • \n Drive execution and delivery of multiple complex, high-visibility agent development projects. \n • \n Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process. \n • \n Ensure clear communication across all stakeholders while developing strong relationships. \n • \n Contribute data-driven, strategic insights to customers and internal team decisions. \n\n What you'll bring \n\n • \n Outstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity. \n • \n Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents. \n • \n Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products. \n • \n Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents. \n • \n Foundational Expertise: \n \n • \n Degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience that demonstrates comparable expertise is a strong plus. \n • \n MBA or comparable experience at the intersection of technology and operations is another strong plus. \n \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. \n With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. \n The Global Business Organization (GBO) is the engine that powers Google’s full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners. \n \n Individual pay is determined by factors including job-related skills, experience, and relevant education or training. \n US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits \n Learn more about benefits at Google. \n Minimum qualifications: \n\n • Bachelor’s degree, or equivalent practical experience.\n, • 8 years of experience in software development.\n, • 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.\n, • 3 years of experience in a technical leadership role.\n, • 2 years of experience in a people management or team leadership role.\n\n Preferred qualifications: \n\n • Master's degree or PhD in Computer Science or related technical field.\n, • 3 years of experience working in a structured organization.\n, • Experience with machine learning (ML) model fine-tuning, evaluation, and performance optimization for user-facing systems.\n\n Responsibilities: \n\n • Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.\n, • Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.\n, • Develop the mid-term technical goals and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.\n, • Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.\n, • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\n

hackajob is collaborating with Sierra to connect them with exceptional professionals for this role. \n About us \n\n • \n At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. \n • \n We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. \n • \n Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. \n\n What you'll do \n As a member of our Agent Strategist function at Sierra, you will be responsible for partnering with our Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day. \n You’ll play a central role in agent development, combining product strategy, conversational design, and customer insight to bring high-quality agents to life. \n\n • \n Be a trusted advisor to our customers and drive their AI strategies. \n • \n Build, design and refine conversational AI agents, gaining direct exposure to how these products are developed and improved. \n • \n Drive execution and delivery of multiple complex, high-visibility agent development projects. \n • \n Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process. \n • \n Ensure clear communication across all stakeholders while developing strong relationships. \n • \n Contribute data-driven, strategic insights to customers and internal team decisions. \n\n What you'll bring \n\n • \n Outstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity. \n • \n Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents. \n • \n Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products. \n • \n Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents. \n • \n Foundational Expertise: \n \n • \n Degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience that demonstrates comparable expertise is a strong plus. \n • \n MBA or comparable experience at the intersection of technology and operations is another strong plus. \n \n\n Our values \n\n • \n Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. \n • \n Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. \n • \n Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. \n • \n Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. \n • \n Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. \n\n What we offer \n We want our benefits to reflect our values and offer the following to full-time employees: \n\n • \n Flexible (unlimited) paid time off \n • \n Medical, dental, and vision benefits for you and your family \n • \n Life insurance and disability benefits \n • \n Retirement plan dependent on country of employment \n • \n Parental leave \n • \n Fertility and family building benefits through Carrot \n • \n Lunch, as well as delicious snacks and coffee to keep you energized \n • \n Discretionary benefit stipend giving people the ability to spend where it matters most \n • \n Free alphorn lessons \n\n These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. \n Be you, with us \n We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

hackajob is collaborating with Version 1 to connect them with exceptional professionals for this role. \n Senior Java Developer \n\n • London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, Belfast, England, United Kingdom\n, • Full-time\n, • Department: Digital, Data and Cloud\n\n \n Company Description \n Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. \n We’re an award-winning employer reflecting how our employees are at the very heart of what we do: \n\n • UK & Ireland's premier AWS, Microsoft & Oracle partner \n, • 3300+ strong, €350/£300m revenue business \n, • 10+ years as a Great Place to Work in Ireland & UK \n, • Best Workplace for Women in the UK & Ireland by GPTW \n, • Best Workplace for Wellbeing in the UK by GPTW \n\n We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!. \n Job Description \n We are seeking a highly skilled and experienced Senior Java Developer to join our dynamic team. The ideal candidate will have a strong background in Java development, extensive experience with AWS, database management, and preferred work experience in batch processing. As a Senior Java Developer, you will play a crucial role in designing, developing, and maintaining high-performance applications that meet our business needs. \n Key Responsibilities: \n\n • Design and Development: Design and development of robust, scalable, and efficient Java applications.\n, • AWS Integration: Utilize AWS services to build and deploy cloud-based solutions, ensuring high availability and scalability.\n, • Database Management: Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance.\n, • Batch Processing: Develop and manage batch processing systems to handle large volumes of data efficiently.\n, • Code Quality: Ensure code quality through code reviews, unit testing, and adherence to best practices.\n, • Collaboration: Work closely with cross-functional teams, including product managers, QA engineers, and other developers, to deliver high-quality software solutions.\n, • Troubleshooting: Identify and resolve performance bottlenecks, bugs, and other technical issues.\n, • Mentorship: Provide guidance and mentorship to junior developers, fostering a culture of continuous learning and improvement.\n\n Qualifications \n\n • Education: Bachelor’s or master’s degree in computer science, Engineering, or a related field.\n, • Experience: Proven experience of 7+ years working as a Java Developer in product development or services environment.\n, • AWS Skills: Minimum 3+ years of work experience in AWS services such as EC2, S3, Lambda function, Step-functions, Event bus etc.\n, • Database Skills: Minimum 5+ years of work experience with relational databases (e.g., Oracle, MySQL, PostgreSQL), ability to write complex joins, performance troubleshooting experience etc.\n, • Technical Skills: Proficiency in Java, Spring Framework, Hibernate, and RESTful APIs.\n, • Problem-Solving: Excellent analytical and problem-solving skills.\n, • Communication: Strong verbal and written communication skills.\n, • Team Player: Ability to work effectively in a collaborative team environment.\n\n Preferred Qualifications: \n Batch Processing experience: Hands-on experience with batch processing frameworks and tools. Python experience: Minimum of 2 years is nice to have. \n Additional Information \n Why Version 1? \n At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. \n\n • Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits \n, • Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme \n, • Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance \n, • Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme \n, • Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies \n, • Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat \n, • Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. \n, • Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. \n\n And many more exciting benefits… drop us a note to find out more. \n Version 1 is an equal opportunities employer. \n \n We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring. \n \n We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address] at Version 1. We will consider all requests carefully, respectfully and confidentially. \n Version 1 is an equal opportunities employer. \n We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity. \n We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact your recruiter at Version 1. We will consider all requests carefully, respectfully and confidentially. \n Video links: \n https://www.youtube.com/watch?v=F_d3ELTH5zo \n By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply

hackajob is collaborating with Atos to connect them with exceptional professionals for this role. \n About Atos Group \n The Atos Group is a global leader in digital transformation. With approximately 56,000 employees and annual revenues of approximately EUR 7.2 billion (based on the future shape of the company), the company operates in 54 countries under two brands: Atos for services and Eviden for products and systems. As Europe's number one in cybersecurity and cloud, Atos Group works for a secure and decarbonized future, providing tailor-made AI-powered end-to-end solutions for all industries. \n Summary of the position \n A Cyber Security Sales Specialist is responsible for driving revenue growth in the United Kingdom (UK) region by identifying, qualifying, and closing business opportunities for cybersecurity software, hardware, and managed services. This role requires a unique blend of consultative selling skills and a strong baseline understanding of digital risk, compliance, and threat mitigation. \n Main Responsibilities \n\n • Pipeline Generation: Identify and prospect new B2B customers via outreach, industry networking, and collaborative marketing campaigns.\n, • Consultative Discovery: Engage with senior decision-makers (CISOs, CIOs, and IT Directors) to uncover their specific business risks, infrastructure gaps, and compliance regulations.\n, • Solution Mapping: Align the company's cybersecurity portfolio—such as Managed Detection and Response (MDR), EDR, zero-trust architectures, and identity management, security consulting—to customer needs.\n, • Deal Management: Lead complex sales cycles from initial presentation and technical demonstrations through to contract negotiation and closure.\n, • Proposal Development: Collaborate with internal pre-sales engineers and technical teams to author detailed RFI, RFQ, and RFP responses.\n, • Vendor & Partner Alignment: Maintain deep relationships with strategic security vendors to leverage channel partner programs and stay ahead of emerging technology roadmaps.\n, • Cross-functional cooperation: Close cooperation with UK Client Executive Partners (CEPs), Business Developers (BDs), Account Sales Executives (ASEs) as well as with Consulting, Pre-Sales, Alliances and Partners to drive cross-selling and upselling initiatives in existing ATOS accounts.\n\n Business KPIs \n\n • Annual Order Entry of GBP 6Mil – 10Mil based on level and experience\n, • Qualified pipeline and close rate\n, • Share of cross-selling and upselling in the portfolio\n, • Customer participation in events and innovation workshops\n, • Quality of Account and Business Planning (ABP) – CRM hygiene\n\n Requirements \n\n • Completed studies (e.g. cyber security, computer science) or comparable qualifications\n, • Minimum of 8-10 years of relevant sales experience in the field of complex cyber security solutions and services\n, • Demonstrable success in establishing and expanding customer relationships\n, • In-depth market and industry knowledge as well as a resilient network in the target markets\n, • Strong communication, presentation and negotiation skills at management and decision-making level\n, • High degree of initiative, goal orientation and strong finishing skills\n, • Analytical and conceptual thinking skills as well as entrepreneurial action\n, • Very good knowledge of English, both written and spoken\n, • Willingness to travel\n\n We look forward to seeing you! \n Here at Atos, diversity and inclusion are in our DNA. We look forward to receiving your application, regardless of origin, religion, colour, gender, age, disability or sexual orientation. All decisions throughout the recruitment process are based solely on qualifications, skills, knowledge and experience, as well as relevant business requirements. \n We attach great importance to equal opportunities and welcome applications from people with disabilities and equality. In the event of equal qualifications, severely disabled applicants and people with equivalent status will be given preferential consideration. This is promoted by our inclusion agreement. Read more about our commitment to a fair working environment for all. \n Atos is a recognized leader in its industry in terms of environmental, social and governance (ESG) criteria. Learn more about our CSR commitment.

hackajob is collaborating with 8th Light to connect them with exceptional professionals for this role. \n \n Lead Engineer \n Location: Waterloo, London, England, UK | Hybrid (1 day per week in office) \n Who We Are \n At 8th Light, we bring life to the best ideas. \n Founded in 2006 and headquartered in Chicago, we are a technology solutions consultancy that partners with organisations from early-stage startups to the world's largest companies. We take on hard software challenges and turn them into durable results. We build agentic products, the platforms they run on, and the engineering and design at every layer. \n Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. \n If this kind of work and our kind of people energises you, you’ve found the right place. \n Who You Are \n You’ve shown long-term repeated success on a variety of projects, typically over the course of 7+ years. You can be the go-to leader for any software development engagement. You have a broad and deep range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: \n\n • Successfully led high-stakes consulting engagements from discovery to production \n, • Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served \n, • Written production-quality code using a variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL\n, • Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation\n, • Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) \n, • Used context-appropriate automated testing to inform software design choices and catch bugs\n, • Debugged and refactored pre-existing code to incrementally improve it\n, • Collaborated with teams using Git, MacOS/Linux, and CI/CD\n, • Remedied architecture-level concerns such as scalability, security, reliability, and performance\n, • Brought together people from different functions and perspectives in forums that encourage idea sharing, collaboration, and problem solving\n, • Made thoughtful recommendations and set direction in the face of ambiguity\n, • Mentored and shared knowledge with colleagues\n, • Actively sought out and effectively given feedback\n, • Communicated empathically with stakeholders and colleagues\n, • Collaboratively led stakeholders to balance technical considerations with product and user needs\n\n What You’ll Do At 8th Light \n As a lead technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll lead more complicated projects, leading teams to do so. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for: \n\n • Making immediate contributions to projects, rapidly building trust with clients\n, • Working pragmatically to balance technology choices while delivering high-quality work within deadlines\n, • Leading architecture and software design discussions\n, • Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring\n, • Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients\n, • Leading or initiating formal feedback conversations with teams and clients via retrospectives\n, • Clearly articulating and documenting outcomes and driving forward action items\n, • Contributing to the health of your team and 8th Light’s culture by modeling our Values\n, • Ensuring your team has a healthy, prioritized, estimated backlog\n, • Managing high-level project roadmaps as the team lead for large engagements\n, • Maintaining relationships with client technical leaders\n, • Regular syncs with the client to provide status updates, and for identifying and evaluating risks and presenting potential solutions\n, • Identifying, mitigating, and resolving blockers to team progress\n, • Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes\n\n Strongly Preferred Skills \n We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: \n\n • Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on\n, • Data Engineering: including platforms like Databricks for data processing and analytics\n, • Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n\n, • DevSecOps & DevOps\n, • MLOps\n, • Infrastructure as Code\n\n Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. \n How You’ll be Supported \n At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. \n\n • Our wellness package is designed with the Whole YOU in mind and includes:\n, • A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.\n, • Annual financial stipend and time allotment for learning & development\n, • Coworking support for our global team\n, • 12 weeks of new parent leave available for eligible employees\n\n See our full list of Benefits. \n A Note on Compensation \n At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs. \n We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Lead Engineer position within London is: £76,023-95,029 GBP. \n Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market. \n 8th Light Hubs and Geographies \n 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. \n\n • London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.\n\n We hope to see you apply! \n #LI-Hybrid \n A Note on Your Privacy \n At 8th Light, one of our core values is Honesty that builds trust — and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process. \n Before submitting your application, please take a moment to review our Global Candidate Privacy Notice. By applying, you acknowledge that you've read it.

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 Senior Lead Software Engineer - Base Metals / Front Office / Athena at JPMorgan Chase within the Commercial and Investment Banking - Base Metals - Commodities Tech team, you will be 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 Job responsibilities \n\n • Works closely with Trading, Quantitative Research, Sales, and Middle Office teams to deliver quality code in a fast-paced environment\n, • Serve as a Senior SWE within the Base Metals Team, driving the design, development, and delivery of applications for risk management, pricing, trade capture, and physical commodities operations, aligned with global team objectives and priorities.\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, • Promotes and drives cross-functional collaboration with Core Technology teams and Business teams to deliver innovative, scalable solutions \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\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise\n, • Degree in Computer Science, Information Systems, Math or equivalent training and relevant experience\n, • Hands-on practical experience delivering system design, application development, testing, and operational stability\n, • Experience in performant, large-scale system development in an object-oriented or functional language such as Python, Java, etc.\n, • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, object-oriented programming, full stack development - end to end, quantitative finance, etc.)\n, • Ability to tackle design and functionality problems independently with little to no oversight\n, • Must have a strong understanding of end-to-end business processes\n, • Enthusiastic to keep learning and growing, in technical aptitude and business understanding\n, • Previous software engineering team management experience\n\n Preferred qualifications, capabilities, and skills \n\n • Software development experience in commodities, finance, or investment banking preferred, or willingness to rapidly learn the business domain\n, • Willingness to become proficient and develop in Python if not already a primary language\n, • Ability to collaborate with other technology teams to deliver end to end solutions to the business in a constantly changing environment\n, • Excellent interpersonal skills to interact confidently and credibly with business users, to understand and agree business requirements and their prioritization\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 LexisNexis to connect them with exceptional professionals for this role. \n AI Architect \n Excited to uncover insights from complex data and turn them into impactful business decisions? \n Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? \n About the team - \n LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. \n Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. \n About the role: \n As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards. \n This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. \n Key Responsibilities: \n\n • \n Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy. \n • \n Evaluate and recommend AI technologies, modelling approaches, and platform components. \n • \n Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations. \n • \n Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. \n • \n Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi-step analyses, and compose insights from multiple data sources. \n • \n Design retrieval and search architectures that deliver accurate, low-latency patent intelligence across both structured analytics and unstructured text corpora. \n • \n Define patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. \n • \n Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. \n • \n Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. \n • \n Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. \n • \n Ensure all AI systems comply with RELX Responsible AI Principles. \n • \n Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. \n • \n Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders. \n\n Requirements: \n Essential - \n\n • \n Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. \n • \n Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows. \n • \n Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. \n • \n Hands-on experience with vector databases and semantic search pipeline design. \n • \n Experience with Model Context Protocol (MCP). \n • \n Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. \n • \n Demonstrated ability to design enterprise-grade AI systems with strong non-functional requirements: security, privacy, reliability, cost governance, and observability. \n • \n Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. \n\n Desirable- \n\n • \n Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. \n\n\n • \n Knowledge of Responsible AI Principles. \n\n\n • \n Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. \n\n\n • \n Experience designing event-driven, cloud-native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. \n\n Why Join Us? \n Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. \n Work in a way that works for you \n We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n\n • \n Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. \n\n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • \n Generous holiday allowance with the option to buy additional days. \n • \n Health screening, eye care vouchers, and private medical benefits \n • \n Wellbeing programs \n • \n Life assurance \n • \n Access to a competitive contributory pension scheme \n • \n Save As You Earn share option scheme. \n • \n Travel Season ticket loan. \n • \n Electric Vehicle Scheme \n • \n Optional Dental Insurance \n • \n Maternity, paternity, and shared parental leave \n • \n Employee Assistance Programme \n • \n Access to emergency care for both the elderly and children \n • \n RECARES days, giving you time to support the charities and causes that matter to you. \n • \n Access to employee resource groups with dedicated time to volunteer. \n • \n Access to extensive learning and development resources \n • \n Access to employee discounts scheme via Perks at Work \n\n About the business- \n At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. \n We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. \n We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. \n Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. \n Please read our Candidate Privacy Policy. \n We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. \n USA Job Seekers: \n EEO Know Your Rights.

hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role. \n As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. \n Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that. \n AI/ML Specialism \n You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: \n Agentic AI & LLM Engineering: \n\n • Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. \n\n\n, • Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. \n\n Machine Learning Engineering: \n\n • End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. \n\n\n, • Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). \n\n Platform & Cloud Engineering: \n\n • Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event-driven architectures and CI/CD. \n\n\n, • Track record of delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices. \n\n Software Engineering: \n\n • Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR. \n\n\n, • Cloud architecture design capability across major providers; rounded understanding of database trade-offs – relational, NoSQL, graph and caching strategies. \n\n\n, • Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development. \n\n\n, • A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. \n \n\n Your Skills and Experience \n We're seeking a technically credible, commercially aware consultant who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale – and who can inspire a team and a client with that same passion. \n\n • 1-5 years in technology consulting, software engineering or AI/ML \n \n • SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering – with strong architecture and design capability across cloud, data and AI domains. \n \n • Clear, confident communicator – able to make the complex accessible for technical and non-technical audiences alike, and to represent Baringa’s expertise with credibility. \n\n\n, • Master’s degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). \n\n\n, • Prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. \n

hackajob is collaborating with 8th Light to connect them with exceptional professionals for this role. \n \n Principal Engineer \n Location: Waterloo, London, England, UK | Hybrid (1 day per week in office) \n Who We Are \n At 8th Light, we bring life to the best ideas. \n Founded in 2006 and headquartered in Chicago, we are a technology solutions consultancy that partners with organisations from early-stage startups to the world's largest companies. We take on hard software challenges and turn them into durable results. We build agentic products, the platforms they run on, and the engineering and design at every layer. \n Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. \n If this kind of work and our kind of people energises you, you’ve found the right place. \n Who You Are \n You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years. You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions. You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes. In your previous experience, you have: \n\n • Built and shipped production-grade platforms: the reusable foundations, tools, infrastructure, and workflows that help other teams shift faster and more reliably\n, • Taken AI and agentic systems from prototype to production, with a strong understanding of infrastructure, authentication, and observability\n, • Delivered on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, and client industries \n, • Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served \n, • Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL\n, • Actively experimented with AI development tools and translated that experimentation into faster, higher-quality delivery for your teams\n, • A track record of understanding, assessing, and embracing new tooling and trends within the software industry\n, • Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents\n, • Successfully led modernisation and replatforming efforts to align legacy systems with short and long-term business needs\n, • Led and delivered solutions to architecture-level problems including scalability, security, reliability, performance, maintainability, and observability\n, • Facilitated alignment across technical and non-technical stakeholders to move initiatives forward through ambiguity and complexity\n, • Provided mentorship and team support at scale, while sharing knowledge and improving team practices \n, • Collaboratively led stakeholders to balance technical considerations with product and user needs\n, • Actively sought out and effectively given feedback\n\n What You’ll Do At 8th Light \n As a go-to technologist and strategist within 8th Light, you’ll work with a variety of clients, typically one to two in a year, while continuing to deepen your and our collective domain expertise over the course of your career with us. You’ll be responsible for: \n\n • Rapidly building trust with clients, demonstrating technical expertise and understanding of their domain and objectives \n, • Driving platform engineering work at the client level, connecting long-term technical vision to what ships \n, • Leading platform strategy and delivery across diverse platform types, connecting long-term vision to what ships\n, • Working pragmatically to balance technology choices while delivering high-quality work within deadlines\n, • Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes\n, • Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring\n, • Driving innovation by proactively surfacing new technical approaches and product solutions\n, • Leading or initiating formal feedback conversations with teams and clients via retrospectives\n, • Clearly articulating and documenting outcomes and driving forward action items\n, • Contributing to the health of your team and 8th Light’s culture by modeling our Values\n, • Designing and managing high-level technical roadmaps for large engagements\n, • Building your network and maintaining relationships with clients and other industry leaders within your domain\n, • Coaching client engineering teams, transferring knowledge and leveling up practices\n, • Influencing client CTOs and executive decisions. Planning and execute technical work that involves stakeholders outside of project boundaries such as across a client's technical organization\n, • Partner with account teams on planning, opportunity identification, stakeholder relationships, and pre-sales scope shaping\n, • Facilitating retrospectives, strategy sessions, and technical deep-dives to improve team and project outcomes\n, • Identifying, mitigating, and resolving blockers to team progress\n, • Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes\n, • Demonstrating leadership in scalable system design, modular architecture, and platform- or product-oriented development\n, • Bringing depth in testing strategies, observability, fault tolerance, and secure engineering practices\n, • Applying architectural patterns to evaluate tradeoffs and drive clear, documented design rationale\n\n Strongly Preferred Skills \n We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: \n\n • Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on\n, • Data Engineering: including platforms like Databricks for data processing and analytics\n, • Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n\n, • DevSecOps & DevOps\n, • MLOps\n, • Infrastructure as Code\n\n Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. \n How You’ll be Supported \n At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. \n\n • Our wellness package is designed with the Whole YOU in mind and includes:\n, • A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.\n, • Annual financial stipend and time allotment for learning & development\n, • Coworking support for our global team\n, • 12 weeks of new parent leave available for eligible employees\n\n See our full list of Benefits. \n A Note on Compensation \n At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs. \n We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Principal Engineer position within London is: £92,818-£116,122 GBP \n Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market. \n 8th Light Hubs and Geographies \n 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. \n\n • London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.\n\n We hope to see you apply! \n #LI-Hybrid \n A Note on Your Privacy \n At 8th Light, one of our core values is Honesty that builds trust — and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process. \n Before submitting your application, please take a moment to review our Global Candidate Privacy Notice. By applying, you acknowledge that you've read it.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n Director of Technology, FX Execution Services \n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. \n This is a Pipeline req, created in anticipation of potential future needs in BNY. We welcome you to apply! When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company. \n We’re seeking a future team member for the role of Director of Technology, FX Execution Services to join our team. This role is located in London. \n Our tech teams are the driving force and the heartbeat of our business. We are looking for a talented and driven Engineer with a proven track record of driving rapid and impactful business transformation through technological innovation. You will be part of our FX Execution Services Technology Team and will play a key role in building out the next generation of BNYs Foreign Exchange Trading Systems. Working directly with skilled Product Managers, Traders, Sales teams and fellow technologists, all of whom put the client at the heart of everything they do, you will help build out our FX trading platform covering pricing, execution, algo trading, order routing and data analytics. \n In this role, you’ll make an impact in the following ways: \n\n • Lead by example in system design, code quality and agile development to engineer scalable and \n, • performant solutions across the full software lifecycle\n, • Leverage AI to its full capability to accelerate innovation and solution delivery and promote a culture of \n, • AI lead development\n, • Collaborate in small cross functional agile teams of talented individuals comprising of skilled product \n, • managers, traders, sales teams and fellow technologists all of whom put the client at the heart of \n, • everything they do\n, • Drive continuous improvement within the team - we value relentless curiosity and a growth mindset\n, • Work with Product Managers to devise and deliver new innovative FX products\n, • Provide mentorship and guidance across the team, fostering professional growth and technical \n, • development\n\n To be successful in this role, we’re seeking the following: \n\n • Extensive years of experience in development\n, • Batchelor’s degree in Computer Science, Mathematics or a similar field \n, • Experience in building mission critical systems, ideally in financial institutions\n, • Ability to work well within a fast-paced environment \n, • A results driven personality \n, • A passion for changing the status quo, driving out of the box thinking. Ability to adapt and lead through \n, • Change\n, • Prior experience of Front office trading systems\n, • Low latency trading experience\n, • Co-location Infrastructure knowledge \n, • Experience working with high performance messaging systems\n, • Hands on development with FIX APIs\n\n At BNY, our culture speaks for itself, check out the latest BNY news at: \n BNY Newsroom \n BNY LinkedIn \n Here’s a few of our recent awards: \n\n • America’s Most Innovative Companies, Fortune, 2025\n, • World’s Most Admired Companies, Fortune 2025\n, • “Most Just Companies”, Just Capital and CNBC, 2025\n\n Our Benefits and Rewards: \n BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. \n BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. \n This is a Pipeline req, created in anticipation of potential future needs in BNY.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n We’re seeking a future team member for the role of Director, Full-Stack Engineer to join our team. This role is located in London. \n In this role, you’ll make an impact in the following ways: \n\n • Lead by example in system design, code quality and agile development to engineer scalable and \n, • performant solutions across the full software lifecycle\n, • Leverage AI to its full capability to accelerate innovation and solution delivery and promote a culture of \n, • AI lead development\n, • Collaborate in small cross functional agile teams of talented individuals comprising of skilled product \n, • managers, traders, sales teams and fellow technologists all of whom put the client at the heart of \n, • everything they do\n, • Drive continuous improvement within the team - we value relentless curiosity and a growth mindset\n, • Work with Product Managers to devise and deliver new innovative FX products\n, • \n Provide mentorship and guidance across the team, fostering professional growth and technical development \n\n To be successful in this role, we’re seeking the following: \n\n • Extensive years of experience in development\n, • Batchelor’s degree in Computer Science, Mathematics or a similar field \n, • Experience in building mission critical systems, ideally in financial institutions\n, • Ability to work well within a fast-paced environment \n, • A results driven personality \n, • A passion for changing the status quo, driving out of the box thinking. Ability to adapt and lead through \n, • Change\n, • Prior experience of Front office trading systems\n, • Low latency trading experience\n, • Co-location Infrastructure knowledge \n, • Experience working with high performance messaging systems\n, • Hands on development with FIX APIs\n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable portfolio of early stage, design focused projects, building on working processes developed internally on projects such as Astra and Genie. \n As a Gameplay Engineer and Prototyper in Inception, you will build interactive experiences, blurring the lines between game development and AI research. Your mission is to move beyond traditional game engineering to prove what is possible when generative models and agentic workflows become core mechanics. \n You will be a key bridge between research and design, moving fast to stand up 0-to-1 prototypes, crafting expert pipelines when necessary, and finding novel technical solutions to creative problems. You will work in a cross-functional environment where every project involves significant experimentation, rapid iteration, and close collaboration. \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 • Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience.\n, • 8 years of experience in one or more programming languages (e.g., C++, Python, or JavaScript).\n, • Experience leading technical strategy across multi-disciplinary teams (e.g., Research, Product, Design) to align engineering roadmaps with non-technical business goals.\n, • Experience in a technical leadership role (Lead or Staff) through the full software development Life Cycle (SDLC) for one or more shipped AAA title or large-scale interactive product.\n, • Experience in game tech research and development, including AI/ML, procedural generation, and advanced engine optimization.\n, • Experience in architecting 0-to-1 systems.\n\n Preferred qualifications: \n\n • Experience training ML models or integrating generative AI into consumer-facing products.\n, • Experience building high-performance web frontends or interactive browser-based experiences.\n, • Experience contributing to open-source projects or leading innovative technical experiments.\n, • Familiarity with Google’s internal infrastructure (google3) and development workflows.\n, • Knowledge of modern game engines (Unreal, Unity, Godot) or proprietary internal frameworks.\n\n Responsibilities: \n\n • Design and rapidly implement the technical foundations for gameplay prototypes that utilize agentic workflows and generative models as core mechanics.\n, • Build internal tools, scaffolding, and workflows that empower designers and researchers to easily experiment with complex AI pipelines.\n, • Lead the integration of small- and large-scale streaming models into game environments, creatively hiding latency and consistency issues inherent to probabilistic models.\n, • Partner closely with designers and research scientists to solve "unsolvable" technical bottlenecks in early-stage, design-focused projects.\n, • Build compliant pipelines for data managing and model testing where stability matters, while maintaining the speed and flexibility required for rapid game prototyping.\n

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n BNY is seeking Engineers who amplify team impact through technical leadership and force‑multiplier behaviors. In this role, you will elevate those around you by raising engineering standards, accelerating delivery, applying sound technical judgment to complex problems, providing thought leadership and coaching others. You will use AI-enabled capabilities to improve how work gets done, while ensuring what ships is secure, scalable, resilient and truly worth building. \n In this role, you’ll make an impact in the following ways: \n\n • Multiply team impact through hands‑on technical leadership, mentorship, and setting a high engineering bar\n, • Build trust, share credit, and strengthen cross-functional execution\n, • Design and build fit‑for‑purpose architectures that balance simplicity, quality, scale, and security\n, • Simplify systems and workflows by removing friction, toil, and unnecessary handoffs\n, • Create durable reusable patterns, guardrails, and tooling that accelerate team delivery\n, • Quickly ramps-up in new domains, technologies, and problem spaces, adapting as needs evolve\n, • Apply strong engineering fundamentals across software design, data, testing, and distributed systems\n, • Use AI-enabled tools deliberately across design, coding, testing, review, and documentation, while keeping strong human accountability for high‑risk decisions, verification, and final quality\n, • Build software with a reliability‑first mindset, incorporating secure coding practices, observability, testing, and disciplined rollout/rollback strategies\n, • Ensure production systems meet required levels of resiliency, performance, scalability, and operability \n \n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience; advanced degree a plus.\n, • Extensive professional software development experience, with demonstrated depth in full‑stack engineering and system / application architecture.\n, • Prior experience in securities, financial services, or modern engineering-first organizations is a plus\n, • Strong proficiency in Java, Spring Boot, SQL, and the design of RESTful and streaming‑based APIs.\n, • Hands‑on experience delivering cloud‑native solutions, including microservices, containerization, and modern deployment patterns.\n, • Working knowledge of NoSQL and distributed data stores, selected and applied appropriately at scale.\n, • Experience leveraging AI‑enabled capabilities—including GenAI or ML‑driven services—to enhance developer productivity, system intelligence, or customer outcomes, with a pragmatic understanding of responsible use, scalability, and integration into enterprise platforms.\n\n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n In this role, you will support the adoption of Google's Generative AI technologies with highly strategic partners across the EMEA and APAC regions. You will be pivotal in providing expert technical guidance and fostering innovation as partners implement AI solutions using Gemma (Gemini Open Models), Gemini ER Models via AI Studio. This will include running simulations, conducting 1:1 partner consultations, and facilitating brainstorming sessions to unlock the potential of our LLM models for business applications. \n You will be at the forefront of the Artificial General Intelligence (AGI) revolution, directly enabling businesses worldwide to leverage Google's models, and to significantly advance your career with products and skills. \n Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. \n To learn more about gTech, check out our video. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 6 years of experience in computer engineering, software development, or building technical tools, including creating solutions by writing code.\n, • Experience working with systems (e.g., Linux, Unix, Windows).\n, • Experience using machine learning and building AI solutions\n, • Experience with Robotics Engineering.\n\n Preferred qualifications: \n\n • Master’s degree in Engineering, Computer Science, Business, or a related field.\n, • Experience in an analytical role such as business intelligence, data analytics, or statistics.\n, • Experience working with database technologies (e.g., SQL, NoSQL).\n, • Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.\n, • Experience with data analysis and problem-solving\n\n Responsibilities: \n\n • Provide expert technical guidance on API integration, model customization (where applicable), prompt engineering, and solution architecture for partner projects.\n, • Create simulations for Robotics models in AI Studio as well as showcase capabilities for Robotics using Gemini (ER) Models.\n, • Conduct 1:1 technical consultation and brainstorming sessions with strategic partners to guide them in developing innovative solutions using Google's GenAI Models and Tools.\n, • Develop and share technical resources, sample code, and best practice documentation to accelerate partner adoption and success.\n, • Gather, synthesize, and relay partner feedback, use cases, and technical requirements to internal Google product and engineering teams to influence future development.\n

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 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 degree in Machine learning, AI, or a related computational field, or equivalent practical experience.\n, • Experience in delivering research impact through publications, open-source contributions, or deployed systems.\n, • Experience with large language models, agentic workflows (e.g., tool use, decomposition, multi-agent coordination), or inference-time reasoning architectures.\n, • Programming experience across common scripting languages and ML pipelining tools.\n, • Experience in probabilistic modeling, uncertainty quantification, calibration, or reinforcement learning.\n\n Preferred qualifications: \n\n • Experience with prediction markets, quantitative research, temporal data modeling, or real-world forecasting benchmarks.\n, • Familiarity with process-based reward modeling, automated design of agentic systems, or search/retrieval-augmented generation.\n\n Responsibilities: \n\n • Engage with existing research efforts to build AI systems capable of superhuman probabilistic estimation, focusing on domains with no clean time series or stable reference classes.\n, • Collaborate with researchers and engineers to design novel structured reasoning approaches, iterative self-improvement loops, and multi-agent workflows that improve estimation quality and calibration.\n, • Research solutions to core forecasting issues, including temporal reasoning, information retrieval and filtering, coherent world-modeling, and novel reward structures for multi-step reasoning.\n, • Engage with product teams and enterprise partners to drive the deployment of our research into high-stakes decision-making environments.\n, • Report and present research findings clearly and efficiently both internally and externally, and suggest team collaborations to meet research goals for the wider Science program.\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. \n From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.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 various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. \n Minimum qualifications: \n\n • Bachelor's degree in computer science, mathematics, physics, electrical engineering, machine learning or equivalent equivalent practical experience\n, • 5 years of experience with software development in one or more programming languages.\n, • 5 years of experience with training of Machine Learning models.\n, • Experience in industry or a research lab working on machine learning problems and engineering workflows.\n\n Preferred qualifications: \n\n • Experience with data analysis at scale, data visualization and data ingestion pipelines for training models.\n, • Experience with Large Language Models and notably Agents and Tools.\n, • Working knowledge of JAX/PyTorch or similar frameworks.\n\n Responsibilities: \n\n • Write and test product or system development code.\n, • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\n, • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\n, • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\n, • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. \n As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. \n Job responsibilities \n\n • Build robust Data Science capabilities which can be scaled across multiple business use cases\n, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems\n, • Research and analyse data sets using a variety of statistical and machine learning techniques\n, • Communicate AI capabilities and results to both technical and non-technical audiences\n, • Document approaches taken, techniques used and processes followed to comply with industry regulation\n, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions.\n, • Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience.\n\n Required qualifications, capabilities, and skills \n\n • Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics\n, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)\n, • Specialism or well-researched interest in NLP\n, • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc.\n, • Experience monitoring, maintaining, enhancing existing models over an extended time period\n, • Extensive experience with pytorch and related data science python libraries (e.g. pandas)\n, • Experience of containerising applications or models for deployment (Docker)\n, • Experience with one of the major public cloud providers (Azure, AWS, GCP)\n, • Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)\n, • Experience of big data technologies\n, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints\n, • Experience with container orchestration tools (e.g. Kubernetes, Helm) \n, • Knowledge of open source datasets and benchmarks in NLP\n, • Hands-on experience in implementing distributed/multi-threaded/scalable applications\n, • Track record of developing, deploying business critical machine learning models\n\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 Google to connect them with exceptional professionals for this role. \n Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. \n Help make Search awesome for our Android users! Our team develops the Android Google Search App (AGSA), one of the most used Android apps with more than 1B DAU and over a third of all Google Search traffic. AGSA is the platform for Search, Gemini, Discover, Circle to Search, Lens, and more. \n In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. \n Minimum qualifications: \n\n • Bachelor’s degree or equivalent practical experience.\n, • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.\n, • 2 years of experience with Android application development.\n\n Preferred qualifications: \n\n • Master's degree or PhD in Computer Science or related technical fields.\n, • 2 years of experience with data structures and algorithms.\n, • Experience with User-facing product development.\n\n Responsibilities: \n\n • Work in collaboration with cross-functional partners to design and improve front-end experiences for the Android Search App.\n, • Implement features, evolving existing architecture to improve maintainability.\n, • Test features across various environments.\n, • Manage individual project deliverables and priorities.\n, • Leverage AI development tools to optimize daily workflows.\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a Forward Deployed Engineer (FDE) in the Google Cloud organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap. \n It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n, • 8 years of experience with software development using Python or similar coding languages.\n, • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.\n, • Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).\n, • Experience leading technical discovery sessions with customers.\n, • Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in AI, Computer Science, or a related technical field.\n, • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).\n, • Experience in a post-sales or technical consulting delivery function.\n, • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.\n\n Responsibilities: \n\n • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).\n, • Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.\n, • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.\n, • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.\n, • Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. \n In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. \n Minimum qualifications: \n\n • Bachelor's degree or equivalent practical experience.\n, • 8 years of experience in software development.\n, • 5 years of experience testing, and launching software products.\n, • 5 years of experience with Android application development.\n, • 3 years of experience with software design and architecture.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.\n, • 8 years of experience with data structures and algorithms.\n, • 3 years of experience in a technical leadership role leading project teams and setting technical direction.\n, • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.\n, • Experience with modern Android development: Kotlin, Jetpack Compose, Material Design.\n\n Responsibilities: \n\n • Provide technical leadership on high-impact projects.\n, • Influence and coach a distributed team of engineers.\n, • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.\n, • Manage project priorities, deadlines, and deliverables.\n, • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. \n With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. \n The Google Cloud Platform Generative AI Black Belt team helps customers unlock their potential with Artificial Intelligence (AI). \n In this role, you will help shape the future of businesses of all sizes using AI and Machine Learning (ML).The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. \n Minimum qualifications: \n\n • Bachelor's degree or equivalent practical experience.\n, • 8 years of experience in software development.\n, • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.\n, • Experience in Artificial Intelligence/Machine Learning, Gen AI, and Software Engineering, including building agents, working with models, utilizing Vertex AI, and developing automation tools.\n\n Preferred qualifications: \n\n • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.\n, • 8 years of experience with data structures and algorithms.\n, • 3 years of experience in a technical leadership role leading project teams and setting technical direction.\n, • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.\n\n Responsibilities: \n\n • Provide technical leadership on high-impact projects.\n, • Influence and coach a distributed team of engineers.\n, • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.\n, • Manage project priorities, deadlines, and deliverables.\n, • Design, develop, test, deploy, maintain, and enhance large scale software solutions.\n

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. \n As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work closely with product management and product engineering to build and constantly drive excellence in our products. \n In this role, you are the Google engineer working with Google's largest and most motivated Cloud customers. Together with the team you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more. \n Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. \n Individual pay is determined by factors including job-related skills, experience, and relevant education or training. \n Germany: €100000 - €102000 (EUR) + 15% bonus target + equity + benefits \n Learn more about benefits at Google. \n Minimum qualifications: \n\n • Bachelor's degree in Computer Science or equivalent practical experience.\n, • 3 years of experience building machine learning solutions and working with technical customers.\n, • Experience designing cloud enterprise solutions and supporting customer projects to completion.\n, • Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.\n\n Preferred qualifications: \n\n • Experience working with recommendation engines, data pipelines, or distributed machine learning.\n, • Experience with deep learning frameworks (e.g., TensorFlow, XGBoost).\n, • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce).\n, • Understanding of the auxiliary practical concerns in production machine learning systems.\n\n Responsibilities: \n\n • Be a trusted technical advisor to customers and solve complex machine learning challenges.\n, • Coach customers on the practical challenges in machine learning systems feature extraction and feature definition, data validation, monitoring, and management of features and models.\n, • Work with customers, partners, and Google Product teams to deliver tailored solutions into production.\n, • Create and deliver best practice recommendations, tutorials, blog articles, and sample code.\n, • Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.\n

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 • Proven track record of 8+ years experience in financial software implementations within banks, software vendors, consulting firms or system integrators\n, • Strong functional understanding of financial instruments within the banking or insurance industries\n, • Proficiency in Oracle PL/SQL, SQL and .Net with strong hands-on technical capability\n, • Experience with programming languages such as C# and R, with additional exposure to IIS, Web API and MVC considered desirable\n, • Ability to gather and translate business requirements through client workshops and gap analysis\n, • Strong customer engagement skills with the ability to build relationships and provide clear, consultative recommendations\n, • Excellent collaboration skills across cross-functional teams including Delivery, Product Management and Technology\n, • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use\n\n Education \n\n • Undergraduate degree in finance, banking, computer science or a related field required\n, • Graduate degree such as a Master’s or MBA preferred\n\n Responsibilities \n\n • Lead and deliver end-to-end implementation projects for commercial lending software solutions, ensuring successful client outcomes and high-quality service delivery\n, • Lead implementation projects including software installation, configuration, data mapping, testing and client training\n, • Conduct gap analysis and gather business requirements through consultative client workshops\n, • Advise clients on optimal product design and configuration to meet business and lending process needs\n, • Manage project timelines, deliverables, resources, project hours and risks using appropriate tracking tools\n, • Collaborate with Product Management teams on enhancement requests, defects and product improvements\n, • Support partners in project delivery under the Partner Delivery Framework, including effort estimation and technical guidance\n, • Deliver SaaS Premium Services through configuration support, integration guidance and minor enhancements\n, • Provide enhanced error support by managing priority incidents in a follow-the-sun model, including occasional weekend support\n\n About the Team \n The team operates within the commercial lending space, delivering software solutions that enable financial institutions to process, assess, approve and monitor lending transactions. Based in London and supporting clients across Europe and Africa, the team works closely with clients and partners to implement innovative solutions and drive business impact. Joining this team offers opportunities to collaborate across regions, engage with diverse stakeholders and contribute to the ongoing evolution of lending technology solutions. \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 Google to connect them with exceptional professionals for this role. \n Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. \n With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. \n The Watch Software Telemetry team accelerates improvements to the quality of the Wear OS, Pixel Watch, and Fitbit portfolio. In this role, we will provide tools, pipelines, and infrastructure for metrics collection, data analysis, and insight generation, supporting release health, performance, and device health across this portfolio. \n The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. \n Minimum qualifications: \n\n • Bachelor’s degree, or equivalent practical experience.\n, • 8 years of experience in software development.\n, • 5 years of experience in a technical leadership role.\n, • 5 years of experience in a people management or team leadership role.\n\n Preferred qualifications: \n\n • Master's degree or PhD in Computer Science or related technical field.\n, • Experience with Data Analytics or Telemetry.\n, • Experience with Android, Kotlin, Java\n, • Experience with Stakeholder Management and Technical Infrastructure Management.\n\n Responsibilities: \n\n • Empower data-driven decisions for upcoming Pixel Watch Hardware/Software launches to improve product quality and minimize regressions.\n, • Ensure release quality across power, performance, memory, and stability via automation. This includes monitoring software release quality and system health of releases in the hands of end-user populations, and maintaining telemetry gates to validate release readiness.\n, • Enhance telemetry impact with reliable, scalable, and easy-to-use infrastructure. Self-serve analysis tooling and infrastructure so that product teams can easily make data-informed decisions.\n, • Uphold strong privacy standards, advocating for them within the wider team, and ensuring adherence to data sharing and privacy regulations.\n, • Utilize artificial intelligence (AI) tools to enhance work productivity or solve business issues.\n

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 Senior Lead Software Engineer at JPMorganChase within the Equities Sales and Trading Technology, 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 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\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on software engineering concepts and 5+ years of applied experience\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, • Practical cloud native experience\n, • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field\n\n Preferred qualifications, capabilities, and skills \n\n • Expertise in React 17+ and modern front-end development practices\n, • Experience with AG Grid or similar advanced data grid libraries\n, • Proven ability to optimize web applications for performance and responsiveness\n, • Familiarity with handling high-frequency data updates in UI applications\n, • Strong understanding of application profiling and tuning techniques\n, • Knowledge of AI integration or cloud technologies, especially AWS\n, • Experience working in fast-paced, agile environments within 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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Build what's next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you'll thrive here. Join a team that values craft, security, and learning. \n As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. \n Job Responsibilities \n\n • Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges\n, • Write secure, high-quality production code and maintain algorithms that integrate with existing systems\n, • Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery\n, • Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks\n, • Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock\n, • Identify hidden problems and patterns in data proactively to improve coding standards and system architecture\n, • Participate in software engineering communities of practice and events focused on emerging technologies\n\n Required Qualifications, Capabilities, and Skills \n\n • Computer science degree or equivalent practical experience\n, • Hands-on experience with system design, application development, testing, and operational stability\n, • Proficiency in Python (FastAPI)\n, • Experience building microservices and APIs\n, • Experience with elastic compute, NoSQL databases, and messaging queues\n, • Strong understanding of the Software Development Life Cycle\n, • Solid grasp of CI/CD, application resiliency, and security\n\n Preferred Qualifications, Capabilities, and Skills \n\n • Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock\n, • Proficiency working with large language models and building agents with LangGraph\n, • Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages\n, • Experience with containerization\n, • Knowledge of agent-to-agent (A2A) communication concepts\n, • Familiarity with Model Context Protocol (MCP)\n, • Experience with agentic orchestrators, personal AI assistants, or AI skills development\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 Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. \n As an Applied AI / ML Lead - Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. \n Job responsibilities \n\n • Build robust Data Science capabilities which can be scaled across multiple business use cases\n, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems\n, • Research and analyse data sets using a variety of statistical and machine learning techniques\n, • Communicate AI capabilities and results to both technical and non-technical audiences\n, • Document approaches taken, techniques used and processes followed to comply with industry regulation\n, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions \n \n\n Required qualifications, capabilities, and skills \n\n • Hands on experience in an ML engineering role\n, • Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics\n, • Track record of developing, deploying business critical machine learning models \n, • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc\n, • Experience monitoring, maintaining, enhancing existing models over an extended time period\n, • Specialism in NLP or Computer Vision\n, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)\n, • Extensive experience with pytorch, numpy, pandas\n, • Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.)\n, • Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)\n, • Experience of big data technologies (e.g. Spark, Hadoop)\n, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints\n, • Familiarity with GraphQL\n\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 Google to connect them with exceptional professionals for this role. \n The Senior Technical Advisor to the VP (Vice President) of Customer Engineering EMEA is a leadership role that sits at the intersection of executive operations, technical leadership, and strategic customer advocacy. Reporting directly to the VP of CE EMEA, you will serve as a trusted advisor, technical strategy partner, and executive multiplier. \n It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. \n Minimum qualifications: \n\n • Bachelor’s degree in Engineering (Electrical, Mechanical, Computer Science) or a related technical field, or equivalent practical experience.\n, • 10 years of experience in technical sales engineering, customer engineering, systems engineering, or software development within a cloud computing environment.\n, • Experience engaging with and presenting to C-suite executives, translating technical architectures into business outcomes, and managing organizational alignment across cross-functional stakeholders.\n\n Preferred qualifications: \n\n • Master's degree or PhD in Computer Science, Artificial Intelligence/Machine Learning (AI/ML), STEM.\n, • Proven experience architecting, deploying, and managing complex cloud architectures, enterprise integrations, or advanced AI solutions at global scale.\n, • Proficiency with Google Cloud's AI, Machine Learning, and database portfolios (including Vertex AI, Gemini Models, and multi-agent systems), alongside familiarity with modern development tools, open-source frameworks, and AI-assisted coding technologies.\n, • Demonstrated ability to lead through influence, resolve high-stakes customer escalations, manage ambiguous situations, and navigate organizational landscapes.\n\n Responsibilities: \n\n • Represent the VP of Customer Engineering as an executive proxy in customer-facing environments. Partner with account teams and technical leadership to engage with C-suite executives, orchestrating multi-year, board-level AI transformation strategies.\n, • Establish technical excellence and direct execution capabilities as core organizational health metrics to position engineering teams for success in Security, Data Analytics, MMB and AI.\n, • \n Serve as a central collaborator connecting EMEA Customer Engineering with global teams, Go-To-Market partners, Product Management, Engineering, and People Operations to resolve technical issues. \n • Synthesize field-engineered solutions, customer implementation roadblocks, and technology gaps to influence Google Cloud product roadmaps.\n, • Lead regional initiatives to convert custom customer solutions into scalable, repeatable global assets and reference architectures\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Are you an experienced software engineering leader looking to make a meaningful impact? This could be the role for you. \n As a Director of Software Engineering at JPMorganChase within Equities Trading Technologies, you will oversee a key technical domain and deliver results across teams, technologies, and cross-departmental projects. Drawing on your deep expertise in software development, application design, technical processes, and product management, you will spearhead multiple high-complexity initiatives, act as a key decision-maker for your teams, and champion a culture of innovation and effective \n Job Responsibilities \n\n • \n Oversee the design, development, and performance tuning of ultra-low-latency C++ trading systems supporting equity derivatives market making (options/warrants) \n • Set the technology roadmap for trading systems expansion and lead strategic technical decision-making across the region\n, • Work closely with global engineering counterparts in New York, Singapore, and Hong Kong to deliver cross-regional platform capabilities\n, • Guide and develop engineers at all levels while cultivating a culture of technical excellence and continuous learning\n, • Engage with trading desks, quantitative researchers, and business stakeholders to translate trading requirements into scalable technical solutions\n, • Promote firmwide frameworks, tools, and engineering best practices, driving adoption of modern development methodologies\n, • Grow and scale the EMEA engineering team from the ground up by establishing robust hiring pipelines and forging university partnerships\n\n Required Qualifications, Capabilities, and Skills \n\n • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field\n, • Significant software engineering experience, with applied experience overall, as well as focused on trading systems\n, • Expert-level command of C++ (C++17/20) with a strong track record of delivering ultra-low-latency systems\n, • \n Demonstrated success in building and scaling engineering teams, including recruiting, mentoring, and developing senior-level talent \n • Proven expertise in architecting, building, and troubleshooting large-scale distributed systems with high availability and automatic failover\n, • Ability to shape technical direction across global, matrixed organizations and build consensus among senior stakeholders\n, • Deep understanding of low-latency optimization techniques and performance engineering\n, • Hands-on experience with exchange connectivity, including FIX protocol, binary exchange protocols, TCP/UDP socket programming, and multicast market data\n, • Proficiency with configuration management, build tooling, and CI environments such as Jenkins\n\n Preferred Qualifications, Capabilities, and Skills \n\n • Direct exposure to European exchange protocols and regional market microstructure\n, • Familiarity with options Greeks, market making strategies, volatility trading, and derivatives pricing models\n, • Experience developing market data feed handlers and order management systems for high-throughput, latency-sensitive environments\n, • Comfort with AI-assisted development tools and contemporary engineering practices\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 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 We are looking for creative thinkers with strong algorithm-design and programming skills that want to build the next generation of AI agents for and grounded in the physical world. In this role, you will work in collaborative teams to invent algorithms and innovate on large foundation models such as Gemini Robotics. You will design prototype applications and work with real robots inside and outside the lab to manage real-world use cases. A strong algorithmic background in scalable machine learning (e.g., reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots /robot simulation and training setups are valued. \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 degree in a technical field or equivalent practical experience.\n, • 2 years of experience with reinforcement and imitation learning, multimodal generative modeling, training and inference, and vision/vision-language/video multimodal models.\n\n Preferred qualifications: \n\n • Experience working with simulators and real-world robots, esp. dexterous manipulation, as well as multimodal sensing (e.g., tactile, forces)\n, • Experience implementing systems and working with large real world data.\n, • Experience with capture methodologies, dataset design, experimentation, and incorporation of captured human action data into vision-language-actions (VLAs) or whole-arm manipulators (WAMs).\n, • Passion for bringing research from the lab to real-world robotic systems.\n\n Responsibilities: \n\n • Design, implement, train and evaluate large models and algorithms for robotic agents. Make breakthroughs and unlock new robot capabilities.\n, • Write software to implement research ideas and iterate quickly.\n, • Work effectively with a large collaborative team with changing agendas to meet ambitious research goals.\n, • Develop methodologies and design and conduct experiments for incorporating scalable data sources, especially human data with or without capture devices into our robotics foundation models. \n, • Leverage your broader expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more.\n

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 Lead AI Engineer at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. \n It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will manage, coach, and develop a small number of staff, with a focus on managing employee performance and assisting in their career development. 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 Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). \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 Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. \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 and establish requirements in non-technical language. \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 Contributions to open-source AI projects or research publications. \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.