39 jobs found

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 6,500 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. When applying for one of our positions, you're agreeing to the use of AI in the early phases of the selection process, where your profile will be evaluated by our virtual assistant. General Description: We are looking for scientists who are passionate about data and are eager to tackle big challenges using Data Science and Machine Learning. The main focus of this role is to solve non-trivial business problems in Fortune 500 companies. This person will mostly work with a mix of structured and unstructured data, using scientific methods and state-of-the-art techniques and tools to help our customers achieve their business objectives. Responsibilities: Understand complex business problems and translate them into structured data problems. Capture and explore complex data sets (structured and unstructured data). Prototype models of different complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Clouds). Design and implementation of machine learning models, metrics, and application of feature engineering techniques applied to customer problems. Support pre-sales in business opportunities and the engineering teams in the implementation of production-ready solutions involving machine learning. Evaluate hypotheses and the impact of machine learning algorithms on key business metrics, including simulations and offline/online experimentation (via A/B tests). Research and understand user behavior patterns, such as user engagement and segmentation, using machine learning models to help test hypotheses. Communicate findings effectively to an audience of engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics or other related quantitative areas. Advanced oral and written communication skills in English. Ability to understand mathematical models and algorithms in research papers and implement them into running software for Proof-of-Concepts and projects. Ability to explore big data without a specific problem defined, in order to come up with the right questions and provide interesting findings. Ability to provide visibility of the progress of tasks to the team by means of small deliverables. Proficient in computer languages like Python or R, and SQL, making use of the best frameworks for machine learning pipelines, data visualization, manipulation and transforming, models training and evaluation, and models deployment. Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning. Experience with Natural Language Processing (NLP and NLU). Experience using Generative AI systems (e.g. ChatGPT) and best practices (e.g. Prompt Engineering). Understanding the key concepts on how to apply Generative AI in building RAG solutions (embeddings, dense search). Business sense and consulting behavior to identify and breakdown problems, define and evaluate hypotheses. Think critically and act in a detail-oriented fashion while keeping the 'big picture' in mind. Ability to provide creative and innovative approaches to problem solving. Ability to work independently and within a collaborative team environment. Desired Qualifications: Masters or PhD in Machine Learning / Data Mining / Statistics. Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. RAG and GraphRAG). Experience with construction and integration of Knowledge Graphs. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you're passionate about state-of-the-art tech products, have hands-on experience with Python, SQL, and REST APIs, and bring 2-5 years of customer-facing experience, you'll thrive in this role. Plus, if you enjoy working in a supportive team environment that empowers you to grow, we think you'll love this job! What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You possess a solid understanding of REST APIs, including design, integration, and authentication. Additionally, you have strong knowledge of Python and SQL. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). You are fluent in Spanish and/or Portuguese What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears

About us Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in New York City, London, and Berlin. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services industry. We are looking to build on this success by growing our team across all seniority levels from software engineers, web developers, marketing and sales experts, and entrepreneurial business analysts. That's where you come in. As a Senior Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions using ML/AI with heuristics and logic, flexible data integrations, and an overlay of data analytics. You will make sure our customers get onboarded on Taktile and get value from Taktile. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about building AI products that solve real customer problems, enjoy working in a fast-paced environment, and are eager to make a tangible impact on financial services at a global scale, this role is tailor-made for you. What you'll do as Senior Solution Engineer You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform (leveraging AI and Machine Learning). You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile's customers. You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You are curious and customer-centric. You enjoy learning about our customers' businesses and helping them solve challenges. You excel at planning and managing project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You have a strong backend programming skill set (Python, RESTful APIs, Databases, AWS Services) You have a background and experience in applying AI & machine learning to solve real-world problem You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers. You have excellent written and spoken English. Ideal Qualifications (but not required) You have 3-5 years of experience as a Solution Engineer, Implementation Specialist, Forward Deployed Engineer or an equivalent position within a B2B SaaS company or as Senior Consultant. You have experience building & running scalable micro services in the cloud You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). What we offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early-stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears

PRINCIPAL MACHINE LEARNING INFRASTRUCTURE (ML PLATFORM AND OPERATIONS) - ENGINEERS: Bullisher is a data-centric fintech solution provider in the aerospace and defense industry for institutional-level investors, looking to disrupt and revolutionize a $3 trillion industry. We spearhead an industry-leading Blackbox to facilitate and administer trade agreements, delivering solutions through innovation with uncompromising agility. JOB DESCRIPTION: As a newly created role for a team of four, the oversight team requires a PLATFORM DESIGNED TO HANDLE COMPLEX WORKLOADS. This involves a machine learning development system, a specialized infrastructure needed to deliver complex AI/ML workloads focused on training deep learning models to improve distributed training and hyperparameter optimization techniques across GPU clusters without rewriting code or restructuring infrastructure. Areas to focus on will include a custom-built internal ML software infrastructure, enabling AI and workloads to run on the same infrastructure. This is a software-only development project for MULTIPLE CROSS DOMAIN PLATFORMS. The role focuses on a solution-level-based ML development training, including hardware, software, validated and pre-configured solutions. The work will be performed out of the electromagnetic spectrum and radio spectrum, impacting real-time decision-making and execution. WHAT ARE WE LOOKING FOR: Extensive experience in ML development in PYTORCH , Kubernetes, and TensorFlow. A proven record in AI and machine learning, focusing on end-to-end solution integration with existing infrastructure. A leading developer focused on transparent model reporting with the utilization of AI infrastructure and ML team collaboration. Academic leadership in transformative ML-powered application workflows. Experience deploying ML models to production environments. Experience with MLOps infrastructure for robust deployment and performance. Experience in high-performance integrated systems management for metrics, benchmark performance, and real-time alerts management. Hands-on big data analytics, advanced analytics, and machine learning development system roadmap. Highly skilled in data acquisition and preparation. Proficient with model deployment and inference. Executive-level experience in model development and training. PHYSICAL DEMANDS: This position requires the ability to communicate and exchange information, utilize equipment necessary to perform the job, and move about the office. ENVIRONMENT: This position will operate in the regulatory engineering division, MULTIDOMAIN DEFENCE DOCK. Employees must be legally authorized to work in the UK. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. KEY REQUIREMENTS: Professional in ML operationalization, including workflow/model management, machine learning development environment (MLDE) management Node, MLOps flow. 20+ years of experience in professional software development. Strong programming skills. Great skills in data engineering and big data technologies. Highly skilled with object-orientation and software development best practices. Offensive Security Certified Professional (OSCP) . Certified Information Security Manager (CISM) . Information Systems Security Architecture Professional (ISSAP) is essential. Certified Authorization Professional (CAP) . Information Assurance System Architecture and Engineer (IASAE) . It is prerequisite to be certified in one of the listed DoD 8570 Certifications. INTERVIEW PROCESS: STAGE 1: COGNITIVE ABILITY TEST STAGE 2: COGNITIVE ASSESSMENT SCREENING: WITH A 30+ YEARS EXPERIENCE PSYCHOLOGIST STAGE 3: PRE-SCREENING (verification checks & DV security clearance) STAGE 4: INTERVIEW WITH THE CEO, CTO & GC

Company: Qualcomm Technologies International Ltd Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Over the past 35 years, Qualcomm has been leading the mobile innovation, transforming how the world connects, computes and communicates. The Standards team in Qualcomm has been at the forefront of driving innovations and shaping the ecosystem from CDMA to 3G UMTS, 4G LTE, LTE Advanced, and now 5G, 6G and machine learning (ML) applications to wireless communications. The candidate will focus on spectrum engineering studies, aiming at identifying new spectrum opportunities for the advance of 5G and 6G cellular systems and designing systems to operate in this new spectrum. The candidate will develop systems level studies, including analysis of coexistence across different radio access technologies in the same spectrum and system level analysis of 5G/6G systems within this spectrum. Role Overview and Responsibilities: Analysis of wireless systems operating in new frequency spectrum under study for deployment of the next generation cellular system (i.e. 6G). Develop system level studies to assess the compatibility between the next generation cellular system and incumbent systems. Develop and analyze coexistence techniques for co-channel operation across different radio access technologies. Develop system and link level studies to assess the performance of radio access technologies. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR • Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR • PhD in Engineering, Information Systems, Computer Science, or related field. Expertise and technical skills: Advanced programming skills in MATLAB/Python are required; skill in other languages (C/C+) is a plus. Organizational, communication and editorial skills in English are required. Strong analytical and problem-solving skills. Ability to work well in a team environment with a focus on knowledge sharing and collaboration. Your Background and Theoretical Knowledge: Solid knowledge of radio communication theory and digital signal processing. Basic knowledge of information theory, coding theory, adaptive filtering, signal detection and estimation, optimization theory, machine learning, deep learning theory, networked and mobile computing environments, and their applications to Wireless Communications. Familiarity with design, analysis and simulation of PHY and/or MAC layers, Radio Access Network and/or Core Network design, interference and mobility management in Radio Access Networks, with focus on 3GPP and IEEE radio access standards. References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Job Details: Principal Machine Learning Engineer Full details of the job. Job Title: Principal Machine Learning Engineer Job Description: Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning to turbocharge our users' productivity. The Sage AI team builds capabilities to help businesses make better decisions through data-powered automation and insights. We are currently hiring a Principal Machine Learning Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company's Artificial Intelligence and Machine Learning initiatives. This is a hybrid role - three days per week in our London office. If you share our excitement for applying artificial intelligence and machine learning, value a culture of continuous improvement and learning, and are excited about working with cutting-edge technologies, apply today! You will: Design and implement product features and services that use AI and ML to augment and simplify our customers' workflows. Develop our internal ML platform to support our machine learning systems and our own efficiency. Monitor and optimize the quality and performance of our models, services, and tools. Collaborate with our AI Platform team to extend the capabilities of our machine learning platform. Design and write robust production-quality code to support our machine learning systems. Build and operate pipelines for accessing and enriching data for machine learning. Train, tune, and ship models. Mentor other ML engineers, software engineers, and data scientists in best practices. Work with product managers and data scientists to translate product/business problems into tractable machine learning solutions. You have: Keen interest in artificial intelligence and machine learning and extensive practical experience with it. Expert knowledge and experience with relevant programming languages (incl. Python), frameworks (incl. Pycharm, OpenAI, HuggingFace, Spark, Azure, AWS). Extensive experience with cloud environments (AWS, Azure, GCP). Ability to write highly performant code working with big data. Bachelor's degree, preferably in a field that strongly uses data science / machine learning techniques (e.g. computer science/engineering, statistics, applied math). Fluency in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and predictive modeling. Strong quantitative and analytical skills with significant experience with data science tools. Ability to communicate complex ideas in machine learning to non-technical stakeholders. You may have: Experience with one or more ML Ops frameworks - MLFlow, Kubeflow, Azure ML, Sagemaker. Strong theoretical foundations in linear algebra, probability theory, or optimization. Experience and training in finance and operations domains. Deep experience with ML approaches: deep learning, generative AI, large language models, logistic regression, gradient descent. Experience wrangling complex and diverse data to solve real-world problems. What's it like to work here: You will have an opportunity to work in an environment where ML engineering is central to what we do. The products we build are breaking new ground, and we have a focus on providing the best environment to allow you to do what you do best - solve problems, collaborate with your team, and push first-class software. Our distributed team is spread across multiple continents; we promote an open diverse environment, encourage contributions to open-source software, and invest heavily in our staff. Our team is talented, capable, and inclusive. We know that great things can only be done with great teams and look forward to continuing this direction. Function: Product Country: United Kingdom Office Location: London Work Place type: Hybrid Advert: Working at Sage means you're supporting millions of small and medium-sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions. Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential. Learn more about working at Sage: Watch a video about our culture: v=qIoiCpZH-QE We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at . Learn more about DEI at Sage:

About Moonsong Labs Moonsong Labs is a cutting-edge Web3 and AI incubator and services company focused on driving projects and ideas in the next wave of developer and end user adoption. We're assembling a dream team of brilliant minds who are as excited as we are about building the future of the internet. Together, we'll disrupt traditional industries, empower individuals, and create a more equitable and transparent digital landscape. Examples of Moonsong Labs projects include Kluster.ai (Decentralised compute platform optimised for Machine learning use cases), Moonbeam (EVM compatible L1 optimized for cross chain use cases) and Tanssi (AppChain Infrastructure). The Venture Studio team We believe we are at a significant inflection point in technology where AI and web3 are both set to disrupt the way we work and interact with one another and we want to position ourselves right at the intersection of these two technologies. Our Venture Studio team is focused on investigating, researching, designing, and building new solutions to help drive web3 and Machine learning user adoption and improve scalabilty, usability, and user experiences with the ultimate aim of launching each product as a stand alone company to add to our growing network of Moonsong Labs portfoilio companies. Your Role: Your work in the Venture studio team will include research, prototype development and presentations of initial proposals for web3 and ML infrastructure projects among other things. You will be working alongside our VP of Products to research and validate new ideas for the venture studio with a focus on AI and web3 technology stacks. We are working with bleeding edge open source technologies such as zkStack, various open source AI models, Starknet etc. The ideal candidate is an experienced Machine Learning Engineer that has experience working with various models, in particular LLMs, and ideally has low level programming experience in Rust, C, or C++. This role would be a good fit for an engineer that enjoys being creative and is comfortable with creating prototypes and MVPs without necessarily driving the project through to production. What you'll do: Hands on in architecting and designing early prototypes for technical validation. Turn prototypes into production grade architectures for internal development once projects move forward. Assist in recruiting a technical founding team for projects graduating to exit the studio. Demonstrate creativity in ideating and developing out-of-the-box solutions. Exhibit a hands-on approach to prototyping, and brainstorming business ideas and technical architectures to deliver them. Stay on top of the latest relevant (EVM ecosystem, Cryptography, ML Models) research and competitive efforts to identify synergistic ideas and approaches for Venture Studio projects. Keep an oversight over MSL core engineering services and projects for synergistic and project opportunities. What you'll bring: Experience with Machine learning and software development. Experience with Python and/or Rust, Solidity. Hands on experience with LLM, tuning or using agentic workflow frameworks Ability to present to senior customer audiences, to explain complex technical concepts clearly. Experience working with customers to understand requirements and turn them into designs and implementations. This includes digging for opportunities based on information provided. Ability to create technical proposals and document designs. Ability to research new protocols and tech stacks to quickly understand mechanisms and key design elements / tradeoffs. Knowledge of web3 infrastructure protocols, architectures, and the current web3 landscape is a plus but not required. Perks and Benefits: 100% Remote Flexible vacation policy Health and Dental plans (for US based employees) Direct line of access to Managing Partners and senior leadership; A flat organizational structure and the camaraderie of working alongside committed professionals focused on providing dedicated mentorship, respectful feedback, and career advancement Continuous learning & development Ready to Shape the Future? Join Us Today! Equal Opportunity is the law, and at Moonsong Labs, we are ardently committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a specific need that requires accommodation, please let us know.

Requisition ID: R Category: Research and Sciences Location: London, London, United Kingdom Clearance Type: Security Check (SC) Telecommute: Yes - May consider hybrid teleworking for this position Travel Required: Yes, 10% of the Time Positions Available: 1 Salary: £ 51,100.00 - £76,700.00 Define Possible at Northrop Grumman UK At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible. This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible? Opportunity: This is more than just a job; it's a mission. The role is for an experienced data scientist to provide technical delivery and subject matter expertise in data science and machine learning across domains relevant to our customers' missions. This technical role requires a detailed knowledge of a broad range of methods and technologies - with opportunities to work across analytics, data fusion and visualisation, data science, data engineering, machine learning and artificial intelligence - and technical leadership of project teams. Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme. Responsibilities: Provide technical leadership for a team of data scientists, to ensure projects are delivered on schedule and to quality, and manage any changes to data science work packages Act as a principal design authority and reviewer for a data science work package, providing technical guidance to more junior data scientists advising on the appropriate data science and machine learning methods and tools, standards and best practice Act as a formal customer technical point of contact and understand customer expectations to ensure delivery content and styles matches Have frequent customer contact; build effective relationships and facilitate collaboration between stakeholders with diverse objectives Represent the organisation by converting customer problems into potential solutions and opportunities, and work with account managers to develop opportunities into propositions, aligning with the current account strategy Support the production of technical sections of bids, proposals and studies Benefits: We can offer you a range of flexible and hybrid working options to suit you, including optional compressed working schedule with every other Friday off. Our benefits include private health care, career development opportunities and performance bonuses. For a comprehensive list of benefits, speak to our recruitment team. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Or: Advanced statistics and experience operationalising academic research Security clearance: You must be able to gain and maintain the relevant UK Government security clearance in line with the job role (SC). Our requirement team is on hand to answer any questions and we will guide you through the process. Why join us? A mission to believe in - Every day we contribute to building a more secure and connected world, expanding our reach from land, sea, and air to space and cyberspace. From engineering data and intelligence solutions to developing maritime navigation and control systems and innovating command and control systems for the UK and NATO, what we do together matters. A place to belong and thrive - Every voice matters at our table meaning you can bring your authentic self to work. From our Employee Resource Groups backed by thousands of employees to sponsoring Cheltenham Pride and our partnerships with Association For Black and Minority Ethnic Engineers, Forces Transition Group, Mind, and Women in Defence - we are passionate about growing and supporting our inclusive community where everyone can belong. Your career, your way - Shape your career journey with diverse roles, mentorship, and development opportunities that fuel your curiosity, channel your expertise and nurture your passion. Looking for flexibility? Balance your professional career with your personal life, health and wellbeing benefits, discount schemes, pension benefits and investment in your future development. Speak to our team to find the balance that's right for you. Ready to apply? Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch. Possibly, I'd like to find out more about this role - Reach out to our team for more information and support. No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.

Job Band Job number 21462 Principal Senior Data Scientist - NLP Salary range: Up to £118,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: permanent contract Location: London or Salford based Our comprehensive benefits package includes: An employer pension contribution of up to 10% 26 days' annual leave (based on full time hours) + bank holidays and the option to buy/sell additional days Contributory lifestyle benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join staff networks including: Women's Network, National Disability Networks and many more. Family friendly flexible working arrangements, such as hybrid working, job sharing, flexitime and compressed hours can be requested. We welcome candidates from all backgrounds and especially welcome individuals from underrepresented groups. If you require any reasonable adjustments at any time, please let us know by contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you will play a key role in driving technical excellence and innovation. You will lead a team of machine learning scientists, providing mentorship and technical guidance while ensuring that the team's work aligns with business objectives. This is a hands-on role that involves active hands-on contribution. Interview process HackerRank test for initial screening Machine Learning system design interview Machine Learning breadth and depth interview BBC culture fit and values alignment interview Responsibilities Provide technical leadership for projects involving fine tuning / alignment of large language models Lead the design and development of scalable generative language and multimodal models and algorithms. Mentor and guide a team of individual contributors, fostering a culture of excellence and continuous improvement. Set clear expectations and create a positive work environment, collaborating closely with engineering and management teams. Contribute to the AI Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are you the right candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and innovation in computer vision or NLP. Deep understanding of machine learning systems, from concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures, and the AI development lifecycle. Hands-on experience with the latest technologies and models in NLP. Strong programming skills in Python and familiarity with software development best practices. Excellent verbal and written communication skills. Passion for innovation. About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here. Company: BBC Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters-at the Moment of Service. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge. At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We're looking for innovative and original thinkers to work in an environment where you can so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. Job Description Are you ready to make waves in the world of data science and AI? We're on the hunt for a Data Scientist to join our dynamic global R&D organization. We're looking for someone who brings the heat, fosters seamless collaboration, and is always chasing that next level of excellence. You'll be at the forefront of infusing cutting-edge AI into IFS Cloud, revolutionizing Enterprise Resource Planning, Asset Management, and Field Service Management. Get ready to tackle high-stakes challenges like IIoT, predictive maintenance, forecasting, anomaly detection, optimization, and unleashing generative AI. Your data science wizardry will power our solutions, crafting efficient ML pipelines, expanding our algorithmic pool, and pushing the envelope of innovation across our product lineup. Your sharp critical thinking and knack for real-world business dilemmas will be instrumental in orchestrating end-to-end solutions. From spotting opportunities on the horizon to delivering high-performance, scalable solutions, you'll play a pivotal role in our success. If you're a maestro of mapping business processes and deciphering complex data, if AI and machine learning are your jam, and if you take pride in building top-tier ML pipelines for production environments, we want to hear from you. How Will You Shape the Future? This role is all about hands-on technical prowess, and we expect you to bring your A-game. You'll be in the driver's seat, working with autonomy, accountability, and technical brilliance. Your mission includes: Spotting high-value AI/ML prospects within our IFS offerings. Serving as our AI/ML whisperer, guiding us towards the latest and greatest tech trends. You'll be the guru behind our estimates and implementation strategies, shaping our roadmap. Crafting and integrating data science projects from the ground up. From framing problems and experimenting with proofs of concept to the grand finale of implementation, you'll ensure scalability and top-tier performance. Locking arms with Data Engineers, Data Scientists, Software Engineers, Solution Architects, and Product/Program Managers. Together, you'll define, create, deploy, monitor, and document ML models that are both tailored and industry leading. Becoming our AI/ML evangelist. Get ready to shine on the conference stage, host webinars, and pen compelling white papers and blogs. Share your discoveries with clients and internal stakeholders, offering actionable insights that drive change. Qualifications To succeed in this role, you'll need: A solid 7+ years of data science expertise, backed by a proven track record of successful projects that have saved the day. Mastery in bringing AI/ML solutions to life from start to finish, including scoping, design, development, testing, deployment, and vigilant monitoring. Experience creating and delivering Cloud ML solutions at scale using Docker and Kubernetes. A deep understanding of advanced statistical modeling and analysis. Expertise in Python and the tools and libraries that make ML magic happen. Familiarity with ML experiment tracking and collaboration tools, such as Mlflow and Weights & Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo. Outstanding communication skills, combining subject matter expertise with a flair for statistics. A results-driven attitude, a passion for innovation, and a self-starting, proactive nature. You're organized, capable of juggling multiple tasks, and your creativity knows no bounds. You're a strategic thinker, always on the hunt for the next big thing. Ready to make your mark? Join us on this exhilarating journey, where you'll be a vital part of our AI revolution. Let's transform the future together! Additional Information We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships. Sounds exciting? Are you ready for the market leader in FSM? Then we look forward to receiving your complete application through our online applicant management system, stating your salary requirements and earliest possible starting date. Interviews and selections will be carried out continuously. As a step in our recruitment process, all candidates will undergo a DISC assessment (PPA) to help us understand our future employees; please note that this is not a decision-making tool, & is used to supplement our recruitment process. We assure you explicit discretion and a comprehensive protection of your interests! We respectfully decline all offers of recruitment and/or advertising assistance.

Principal Software Architect page is loaded Principal Software Architect Apply locations Cambridge, United Kingdom time type Full time posted on Posted 7 Days Ago job requisition id R-100181 About SiFive As the pioneers who introduced RISC-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive's unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC-V has no limits. At SiFive, we are always excited to connect with talented individuals, who are just as passionate about driving innovation and changing the world as we are. Our constant innovation and ongoing success is down to our amazing teams of incredibly talented people, who collaborate and support each other to come up with truly groundbreaking ideas and solutions. Solutions that will have a huge impact on people's lives; making the world a better place, one processor at a time. Are you ready? To learn more about SiFive's phenomenal success and to see why we have won the GSA's prestigious Most Respected Private Company Award (for the fourth time!), check out our website and Glassdoor pages. Job Description: Principal System and Software Architect The Role: Do you want to be part of the RISC-V revolution? RISC-V and SiFive are redefining computing platforms for the 21st century. As a System and Software Architect, you'll play a leading role in designing and implementing these platforms, spanning software and hardware architecture and engineering. In this position, you'll play a lead role in designing and evaluating RISC-V computing systems. Unlike many larger companies, SiFive engineers can work cross-functionally, with full access to our software and hardware codebases. The primary home for this role is in SiFive's Software Engineering group, architecting and writing software that takes advantage of SiFive and RISC-V hardware features and integrates cleanly with existing operating systems, primarily Linux. You'll help author and review architecture specifications for new hardware and software features, and will help plan and execute the work involved in implementation. You'll be a part of creating something big - all based around the RISC-V instruction set architecture. Responsibilities: You will work with multiple engineering teams to architect, design, implement and deliver advanced CPU cores, subsystems, SoCs, and IP subsystems with emphasis on scalability, performance, reliability, and support of new hardware technologies. Utilize your experience to create solutions to key architectural challenges for modern, high-level systems. Design and help develop SiFive and RISC-V software. Help plan and estimate complex software projects. Collaborate cross-functionally to help plan how to test key features in complex system environments. Requirements: Experience developing low level code in C for multiprocessor, multithreaded operating systems such as the Linux kernel, BSD kernels, or other high level operating systems (HLOS). Understanding of computer architecture at the CPU and system levels, VLSI design concepts and how they impact hardware and software architecture. Experience writing and reviewing architecture specifications, both for hardware and software. Experience with modern desktop and server ecosystems, including PCIe, Device Tree, ACPI, and UEFI. Experience with the RISC-V ISA and RISC-V software ecosystem. Experience working with RTL engineers and with RTL product lifecycles. Strong communication skills. Strong project leadership skills, including the ability to develop roadmaps, work breakdowns and estimates, and drive small projects. Nice to have: Experience with accelerated computing software and hardware stacks. Experience with Linux distributions or distribution builders such as Debian, Red Hat Enterprise Linux, SLES, and Yocto. Experience with C++, Rust, or SPARK/ADA. Experience working in global teams and with cross-cultural communication. Experience with virtualization and device passthrough workloads. Additional Information: This position requires a successful background and reference checks and satisfactory proof of your right to work in the United Kingdom. Any offer of employment for this position is also contingent on the Company verifying that you are authorized for access to export-controlled technology under applicable export control laws or, if you are not already authorized, our ability to successfully obtain any necessary export license(s) or other approvals. SiFive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us to make an impact today and define tomorrow

Job Band Job number: 21462 Principal Senior Data Scientist - NLP Salary range: Up to £118,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: permanent contract Location: London or Salford based Benefits Our comprehensive benefits package includes: An employer pension contribution of up to 10% 26 days' annual leave (based on full time hours) + bank holidays and the option to buy/sell additional days Contributory lifestyle benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join staff networks including: Women's Network, National Disability Networks and many more. Family friendly flexible working arrangements, such as hybrid working, job sharing, flexitime and compressed hours can be requested. We welcome candidates from all backgrounds and especially welcome individuals from underrepresented groups. If you require any reasonable adjustments at any time, please let us know by contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you will play a key role in driving technical excellence and innovation. You will lead a team of machine learning scientists, providing mentorship and technical guidance while ensuring that the team's work aligns with business objectives. This is a hands-on role that involves active hands-on contribution. Interview process Machine Learning system design interview Coding interview BBC culture fit and values alignment interview Responsibilities Provide technical leadership for projects involving fine tuning / alignment of large language models. Lead the design and development of scalable generative language and multimodal models and algorithms. Mentor and guide a team of individual contributors, fostering a culture of excellence and continuous improvement. Set clear expectations and create a positive work environment, collaborating closely with engineering and management teams. Contribute to the AI Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are you the right candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and innovation in computer vision or NLP. Deep understanding of machine learning systems, from concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures, and the AI development lifecycle. Hands-on experience with the latest technologies and models in NLP. Strong programming skills in Python and familiarity with software development best practices. Excellent verbal and written communication skills. Passion for innovation. About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours here. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here. Company: BBC Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom

Job Band Job number 21462 Principal Senior Data Scientist - NLP Salary range: Up to £118,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: permanent contract Location: London or Salford based Benefits An employer pension contribution of up to 10% 26 days' annual leave (based on full time hours) + bank holidays and the option to buy/sell additional days Contributory lifestyle benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join staff networks including: Women's Network, National Disability Networks and many more. Family friendly flexible working arrangements, such as hybrid working, job sharing, flexitime and compressed hours can be requested. We welcome candidates from all backgrounds and especially welcome individuals from underrepresented groups. If you require any reasonable adjustments at any time, please let us know by contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you will play a key role in driving technical excellence and innovation. You will lead a team of machine learning scientists, providing mentorship and technical guidance while ensuring that the team's work aligns with business objectives. This is a hands-on role that involves active hands-on contribution. Interview Process Machine Learning system design interview Coding interview BBC culture fit and values alignment interview Responsibilities Provide technical leadership for projects involving fine tuning / alignment of large language models Lead the design and development of scalable generative language and multimodal models and algorithms. Mentor and guide a team of individual contributors, fostering a culture of excellence and continuous improvement. Set clear expectations and create a positive work environment, collaborating closely with engineering and management teams. Contribute to the AI Research Team's portfolio by publishing novel research in top-tier journals and conferences. Are You the Right Candidate? Ph.D. in Machine Learning, Computer Science or a related field. 7+ years of experience in machine learning, with a focus on NLP. Proven track record of research excellence and innovation in computer vision or NLP. Deep understanding of machine learning systems, from concept through to deployment, with the ability to communicate effectively to both technical and non-technical stakeholders. Proficiency with machine learning frameworks, such as PyTorch or TensorFlow. Strong expertise in deep learning algorithms, model architectures, and the AI development lifecycle. Hands-on experience with the latest technologies and models in NLP. Strong programming skills in Python and familiarity with software development best practices. Excellent verbal and written communication skills. Passion for innovation. About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours here. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here. Company: BBC Qualifications: Language Requirements: Specific Requirements: Educational Level: Level of Experience (Years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom

Principal Data Architect - Remote UK Principal Data Architect - Remote UK Job Summary: JOB DESCRIPTION - PRINCIPAL DATA ARCHITECT Location: UK (Remote) Division: Technology Line Manager: Kieren Hynd, Chief Architect Contract Terms: Permanent THE TEAM Enterprise Architecture owns the high-level architecture of Ticketmaster's technology landscape, driving an overall vision and technical choices. We collaborate closely with teams across the business, ensuring they can relate their work to our long-term strategic goals. THE JOB As a Principal Data Architect, you will perform an essential role for Ticketmaster's Enterprise Architecture team, reporting to the Chief Architect. You will shape and drive toward a holistic vision for our effective use of data, aligned with Product & Technology strategy and Business objectives. Your primary responsibility will be establishing a common identity across our rich and diverse data sets, determining the inherent structure, relationships, and entities within. You will apply your expertise to translate complex data into understandable models, setting the groundwork for efficient application of machine learning solutions. Your work will provide the backbone of our data ecosystem, linking data science, machine learning, and technological infrastructure. You will immerse yourself in Ticketmaster's data environment - how data is managed from collection, through transformation, storage, organization, and access. You will become familiar with our use of data-oriented products, APIs, and query languages, and how these can be leveraged to optimally balance between performance, security, and quality. You will promote consistent Data Architecture best practices and ensure the Enterprise Architecture team continues to be relevant to the challenges and objectives faced by Ticketmaster. As a global company travel will be required on an as-needed basis. WHAT YOU WILL BE DOING Accountable for Ticketmaster's Data Architecture strategy, roadmap, and policies, aligned with our long-term technology and business goals. Building effective relationships with business and product partners, translating requirements into clear designs and processes for data production, management, and consumption. Acting as a key stakeholder and advisor in complex strategic initiatives, ensuring alignment across the organization and that design is in accordance with the strategy. Overseeing the governance and high-level design of multiple data models, developing a broad understanding of their relationships and how each fulfills the needs of the organization. Working in close collaboration with architects, engineers, and product partners across the enterprise to provide technical oversight, leadership and consultation on data relevance, structure, and lifecycle. Actively contributing toward data-related security, compliance, and privacy practices, ensuring they are embedded in the strategy. Setting and advocating standards, principles, and ways of working for the broader Data Architecture community. Building and maintaining appropriate artifacts to support communication and alignment to the strategy. Developing key performance indicators to assure integrity, confidence, and quality of data. Assessing technology and regulatory trends in the wider data landscape, how they may impact opportunities and timing for adoption. WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS) Solid, proven background in data modelling, analysis and mapping to business capabilities and applications. Foundational knowledge of Enterprise Architecture, Domain Driven Design principles, systems development, application design and information management. Experience with event-based, lambda and hybrid deployment (i.e., cloud and on-premises) data architectures, and understanding of a broad range of data-oriented technologies and their applicability. Experience with one or more data warehouse platforms (preferably Databricks and Spark). Understanding of the principles, practices and techniques of Data Engineering and Machine Learning. Working knowledge of one or more data-oriented programming languages (e.g., Python, Java), visualization techniques and analytics tools. YOU (BEHAVIOURAL SKILLS) Business acumen - Create effective designs and policies, aligned with strategic needs of the organization and considering opportunities, risks and uncertainties. Communication skills - Make complex, technical information and language simple and accessible. Listen and interpret the needs of business and technical stakeholders and manage expectations. Partnership skills - Building relationships and leading through influence. Presentation skills - Confident and methodical, creating clear, well-understood analysis, reports and solution designs that can be acted upon. Analytical and numerical skills - Undertake data profiling and analysis, deriving accurate insights from large volumes data with complex relationships. Critical thinking and problem-solving skills - anticipate and mitigate against problems at the right time, able to understand and articulate how the issue fits and impacts the larger picture. LIFE AT TICKETMASTER We are proud to be a part of Live Nation Entertainment, the world's largest live entertainment company. Our vision at Ticketmaster is to connect people around the world to the live events they love. Our work is guided by our values: Reliability - We understand that fans and clients rely on us to power their live event experiences, and we rely on each other to make it happen. Teamwork - We believe individual achievement pales in comparison to the level of success that can be achieved by a team. Integrity - We are committed to the highest moral and ethical standards on behalf of the countless partners and stakeholders we represent. Belonging - We are committed to building a culture in which all people can be their authentic selves, have an equal voice and opportunities to thrive. EQUAL OPPORTUNITIES We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work.

Join the Growth Story at Envitia Join Envitia, a leader in the UK's digital and software services landscape, where your work in cutting-edge technology empowers our customers to manage, share, and exploit data more effectively: Influence significant digital and data transformation projects within the UK public sector. Utilise AI and Machine Learning to innovate sophisticated decision support systems. Make an impactful contribution to society by harnessing the power of data. Why we are different? We bring the agility and customer focus of an SME, combined with the credibility and expertise earned from 35 years of solving complex data problems in high-trust environments. Joining us means being part of a dynamic engineering team delivering impactful, tailored solutions across diverse industries. We're growing fast, and we're committed to fostering a fun, supportive, and challenging culture where every voice matters. We value innovative thinkers who challenge the norm to drive diverse, inclusive decision-making and deliver excellence for our customers. A role where your input matters, in a company that values innovation and fosters a collaborative culture. Join us to make a real impact, grow with a supportive team, and help shape the future of data solutions in trusted sectors. The Role The Principal Java Engineer has a critical role within the Engineering function, tasked with setting technical standards and influencing the architectural decisions that shape the company's software solutions. This position is suited for a seasoned expert who not only technically leads projects within their domain of expertise but also supports business development efforts through pre-sales engagements. The Principal Engineer will guide the technology strategy, collaborate with cross-functional teams and ensure the delivery of scalable, efficient and innovative software products. This position is designed for an influential engineer with an extensive technical background and a strategic mindset. As a Principal Engineer, you will lead by example, champion best practices and influence the strategic direction of the overall Engineering team. Technically you will need strong Java and Angular programming experience, be able to demonstrate a track record of delivering high quality software solutions and have some experience of people leadership. Job Responsibilities Technical and Architectural Leadership: Define and implement high-level software architectures that support complex business applications. Ensure technical integrations are designed to scale and align with business goals. Ability to lead a technical product team of data, test and software engineers, provide technical direction and take accountability for technical delivery. Product Engineering: Design, write and test code, re-engineering core products as necessary, supporting and collaborating with other technical leaders, senior engineers and developers involved in the project. Pre-sales Support: Collaborate with the sales and marketing teams to provide technical expertise during the pre-sales process. Assist in preparing and presenting product demos, proposals, and technical pitches to potential clients. Project Oversight and Delivery: Lead the planning, execution, and delivery of critical development, ensuring technical excellence and timely completion. Monitor key projects and initiatives to guarantee alignment with the strategic objectives. Strategic Innovation and Research: Stay abreast of industry trends and emerging technologies. Evaluate, experiment and advocate for the adoption of new technologies and tools that can benefit the company. Quality Assurance and Best Practices: Develop and enforce best practices and standards in software design and development. Oversee the establishment of rigorous testing and quality assurance processes. People Leadership: Comfortable with software engineering management responsibilities. Some responsibility for people leadership including individual career and skills development planning. Skills Required Essential Skills: Very highly proficient Java programmer, experience building RESTful microservices with Spring. Strong knowledge of maturing DevOps, Docker and CI/CD pipelines. Experience of managing and developing software development team. Experience of User Interface integration using an API integration layer and some background knowledge of Angular or other JavaScript frameworks such as React, Vue.js and native js will be useful. Strong experience of Azure / AWS technologies and cloud infrastructure. Experience of leading software development teams to define and utilise appropriate service APIs. Security Clearance Requirements The successful candidate must be eligible to go through a SC level security clearance. Location The role will be required onsite in our Horsham offices 1 day a week with the rest of the week remote working. What it's like to work at Envitia At Envitia, we believe that our greatest asset is our talented and dedicated team. We are committed to fostering a work environment where every employee feels valued, supported, and motivated to excel. As part of this commitment, we offer a comprehensive range of benefits designed to enhance both your professional and personal well-being. Annual Leave: 25 days plus your birthday off. You will have the ability to buy and sell 5 days holiday to work around your needs. Private Healthcare Coverage: Our health plan is tailored to meet the diverse needs of our employees with additional levels for family if required. Flexible Work Arrangements: Achieve a better work-life balance and explore what flexible working arrangements we can provide for you. We understand the importance of accommodating personal commitments and offer options that suit your needs. Fitness Reimbursement: We encourage an active lifestyle. Our fitness reimbursement program helps you stay fit by covering a portion of your gym memberships or fitness-related expenses. Training & Skills Development: Stay ahead in your career with ongoing training opportunities and skill development initiatives tailored to your evolving needs. Life Assurance: Gain peace of mind with extensive life insurance coverage that ensures financial protection for you and your loved ones. Pension Contribution: Plan for your future with our pension options. We provide resources and support to help you build a secure financial foundation. Perkbox Subscription: Enjoy exclusive discounts on a variety of products and services. From technology to entertainment, we've partnered with various businesses to bring you special perks. Internal Reward Schemes: Be rewarded for your exceptional contributions through our employee recognition initiatives that celebrate your achievements. Community Engagement & Volunteer Opportunities: Contribute to meaningful causes with company-sponsored volunteer programs, fostering a sense of community and social responsibility. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. We actively pursue a range of initiatives in support of this commitment: Diversity Training Programs. Regular training for all employees to enhance understanding and appreciation for diversity and inclusion. Recruitment Practices. We ensure our hiring practices are open, accessible, fair and inclusive, actively seeking to recruit a diverse range of talents from different backgrounds, cultures, and perspectives. Employee Resource Groups. Supporting various employee-led groups that cater to diverse communities within our workforce, providing them with resources and a voice within the company. Community Engagement. Engaging with local communities and organisations to support broader social diversity and inclusion efforts. If you require any accommodations during the application or interview process, please let us know.

Sr Principal Software Engineer page is loaded Sr Principal Software Engineer Apply locations: CAMBRIDGE Time type: Full time Posted on: Posted Yesterday Job requisition id: R49763 At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world's most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. Job Title: Sr Principal Software Engineer Location: Cambridge, United Kingdom OR Cork, Ireland Reports to: Software Engineering Group Director Job Overview: We are seeking a Sr Principal Software Engineer (Team Lead) to join our team responsible for developing and maintaining AI infrastructure across Cadence's portfolio of design tools. This role offers an exciting opportunity to work at the intersection of computational software and artificial intelligence, helping to shape the future of Cadence's innovative solutions. Job Responsibilities: Lead and mentor a team of software engineers working on infrastructure that supports, for example, inference, prompt engineering, fine-tuning, and model quantization. Collaborate with product managers and cross-functional teams to deliver software systems and libraries to deliver AI-driven functionality across the whole Cadence organization. Drive best practices in software development, including code reviews, testing methodologies, and technical documentation. Stay at the forefront of industry trends and emerging technologies in AI and machine learning. Foster an environment of continuous learning, innovation, and technical excellence. Job Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming languages. Proven ability to lead technical teams and manage complex projects. Excellent problem-solving skills and analytical thinking. Outstanding communication and interpersonal abilities. Experience with agile development methodologies. Additional Skills/Preferences: Experience with AI model deployment and inference. Familiarity with prompt engineering techniques. Knowledge of model optimization methods such as quantization. Understanding of software library development. Experience with version control systems (Git). Exposure to computational software or design tools. Interest in hardware design or semiconductor technology. Track record of successful cross-functional collaboration. Work Arrangements: Hybrid working model with multiple in-office days expected. Opportunities for collaboration with global teams. Why Join Cadence? Work with cutting-edge AI technology that impacts the development of next-generation products. Collaborate with industry experts and thought leaders in computational software. Professional development opportunities and clear career progression paths. Inclusive workplace culture that values diversity of thought and innovation. Additional Information: Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace. We're doing work that matters. Help us solve what others can't.