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Apply now Data Science & AI Specialist Overview We are looking for a Data Science & AI Specialist to obtain value from the full range of all BT data sets using advanced DS and AI models. In this role, you will be responsible for designing, building, deploying, and operationalizing artificial intelligence and machine learning models within the AWS ecosystem. This role combines strong software engineering practices with data science knowledge, leveraging SageMaker's full suite of tools to manage the entire ML lifecycle. Responsibilities Leads the extraction and analysis of Mobile data through the application of Machine learning & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services. Drives model development, including data exploration, training data, feature extraction, validation and scoring. Develops insightful visualisations to make sophisticated analyses accessible to a broad audience. Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in AI/ML. Leverages Amazon SageMaker's capabilities, such as SageMaker Studio, Pipelines and Endpoints, to streamline building, training, evaluating and deploying models at scale. Implements and maintains robust Machine Learning Operations (MLOps) practices, including CI/CD pipelines, model versioning, monitoring for drift and performance, and automated retraining processes. Collaborates on data acquisition, preprocessing, feature engineering and data analysis to prepare large datasets for model training. Leads identification of opportunities and implementation of SageMaker machine learning techniques to derive business insights. Contributes towards development of machine learning guidelines, policies and architecture that supports scalable machine learning pipelines. Drives new data set sourcing, transformation and preparation of new data sets from across the BT group's platforms to build foundational data models for data science, analytics and machine learning. Skills 2-3 years+ of proven success at applying Data Science approaches or developing and shaping AI algorithms and models. (Mandatory) Experience with AWS cloud services for scalable AI & data solutions. (Mandatory) Experience in programming languages such as Python/Java and strong knowledge of AI/ML libraries. (Mandatory) Solid understanding of software architecture, data modeling, and various data structures. Knowledge of data governance practices to ensure data quality, security, and compliance. Demonstrates a comprehensive understanding of ethical considerations related to artificial intelligence and ability to develop and implement fair and responsible AI solutions. Research skills to stay up-to-date with latest AI trends and continue to learn new techniques. Excellent communication - the ability to listen and to share ideas clearly to a range of audiences. Experience in leading, managing and/or coaching others - particularly in technical roles, whether as a line manager or not. Inclusive Hiring Statement DON'T MEET EVERY SINGLE REQUIREMENT? Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Benefits Annual On Target Bonus 10% (personal and company multipliers) BT Pension scheme; minimum 5% employee contribution, BT contribution 10% Life Assurance Direct share scheme Exclusive colleague discounts on our latest and greatest BT broadband packages 50% off EE mobile pay monthly or SIM only plans and 50% discount for friends and family on EE SIM only plans My Discounts gives colleagues access to unbeatable savings on everyday purchases at hundreds of retailers Discounted EE TV including TNT Sport and the NOW Entertainment membership Great support for working parents including pay whilst on maternity, adoptive, and paternity leave Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc. 25 days annual leave (not including bank holidays), increasing with service with buy holiday option Volunteering days so you can give back to your local community Brand new electric vehicle salary sacrifice arrangement, known as 'My EV' Location One Braham (4140), London, United Kingdom Contact Recruiter: Trevor Newman

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

Location: Belfast Other locations: Primary Location Only Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Engineer Senior Consultant - Job Specification Position Overview We are seeking a highly skilled Data Engineer Senior Consultant with hands on experience designing, building, and optimizing data solutions that enable advanced analytics and AI driven business transformation. This role requires expertise in modern data engineering practices, cloud platforms, and the ability to deliver robust, scalable data pipelines for diverse business domains such as finance, supply chain, energy, and commercial operations. Your Client Impact Design, develop, and deploy end to end data pipelines for complex business problems, supporting analytics, modernising data infrastructure and AI/ML initiatives. Design and implement data models, ETL/ELT workflows, and data integration solutions across structured and unstructured sources. Collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions that unlock business value. Ensure data quality, integrity, and governance throughout the data lifecycle. Optimize data storage, retrieval, and processing for performance and scalability on cloud platforms (Azure, AWS, GCP, Databricks, Snowflake). Translate business requirements into technical data engineering solutions, including architecture decisions and technology selection. Contribute to proposals, technical assessments, and internal knowledge sharing. Data preparation, feature engineering, and MLOps activities to collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions. Essential Qualifications Degree or equivalent certification in Computer Science, Data Engineering, Information Systems, Mathematics, or related quantitative field. Proven experience building and maintaining large scale data pipelines using tools such as Databricks, Azure Data Factory, Snowflake, or similar. Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse concepts. Experience with data quality frameworks, data governance, and compliance requirements. Familiarity with version control (Git), CI/CD pipelines, and workflow orchestration tools (Airflow, Prefect). Soft Skills Strong analytical and problem solving mindset with attention to detail. Good team player with effective communication and storytelling with data and insights. Consulting skills, including development of presentation decks and client facing documentation. Preferred Criteria Experience with real time data processing (Kafka, Kinesis, Azure Event Hub). Knowledge of big data storage solutions (Delta Lake, Parquet, Avro). Experience with data visualization tools (Power BI, Tableau, Looker). Understanding of AI/ML concepts and collaboration with AI teams. Preferred Qualifications Certifications such as: AWS Certified Data Analytics - Specialty SnowPro Advanced: Data Engineer EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Do you strive to make a difference? Goaco is looking to build a team to continue solving problems using software and technology for our clients. We are developers at heart - and by the mind too. We thrive on challenges and live for logical thinking. Formed over a decade ago, we have built on our successes, all of whom have benefitted from their level-headed software solutions. The team is all like-minded individuals, with a drive to succeed in their own fields. Goaco is a Digital and Cyber Security Consultancy and we are looking to build a team to continue solving problems using software and technology for our clients. As a Development & Cloud Solutions Architect, you will lead the design and delivery of scalable, secure, and high-performing cloud-based solutions tailored to meet the needs of private and public sector clients. RESPONSIBILITIES Across AWS, Azure, and GCP, devise and execute flexible, protected data architectures. Give enterprise-wide data models, pipelines, and artificial intelligence frameworks. Use Spark, Kinesis, Pub/Sub to organise real time and batch data processing. Create ML pipelines for effective model training, deployment, and monitoring. Construct AI powered analytical systems, data lakes, and warehouses stored in the cloud. Ensure that data security, privacy, and integrity policies are followed. Offer technical leadership in data engineering, artificial intelligence, and machine learning. Deploy auto AI using CI/CD together with MLOps greatest practices. While guaranteeing high availability and performance, make the best use of cloud assets. Lead groups in choosing technology agnostic data and artificial intelligence tools. Work with the sales team to help form AI driven products and answer RFPs. Give customers technical lectures, proofs of concept, and artificial intelligence demos. Encourage stakeholders to modernise, embrace the cloud, and embrace artificial intelligence. Get engineering teams and senior management involved to coordinate artificial intelligence approaches with corporate aims. Give training seminars, hackathons, and workshops to stimulate creativity. Mentoring groups on optimal approaches in artificial intelligence, data engineering, and cloud structures. Create artificial intelligence powered systems appropriate to security standards and official rules. Convey difficult scientific ideas to stakeholder who themselves are not experts. EXPERIENCE & SKILLS REQUIRED Experience in AI/ML platform design, data engineering, and solution architecture. Skilled in current data technologies (Kafka, Spark, Snowflake, Databricks, BigQuery). Proficient in deep learning (TensorFlow, PyTorch) as well as artificial intelligence/machine learning platforms (SageMaker, Azure ML, Vertex AI). Good understanding of responsible Artificial Intelligence practices, model interpretability, and AI ethics. Experience combining artificial intelligence with event driven architectures, APIfirst approach, and microservices. Ability demonstrated to create AI/ML solutions from start to end-from data acquisition to deployment. Knowledge of regulatory compliance, data strategy, and governance in different industries. Experience with cognitive services, decision making, and AI driven automation. Technical presales knowledge, proposition drafting, and stakeholder interaction. Good consulting abilities marrying technical feasibility with corporate requirements. Track history of providing artificial intelligence/data services to enterprise clients and government. Full knowledge of constraints on public sector data policies and compliance requirements. Cybersecurity, health, and financial industries expertise. Trained in Azure, AWS, and common artificial intelligence/machine learning platforms. BENEFITS We prioritise employee well-being and mental health by offering a comprehensive range of benefits so to enhance both health and career growth. Competitive Salary: Salary depending on experience and background. Health Benefits: 24/7 GP Access, Counselling Services, Virtual Physiotherapy, Discounted Gym Memberships, Virtual Gym Classes, Discounted Private Health Cover, Eye Care Discounts. Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings. Education Benefits: Learning Courses, Business Skills Training. Offered only to employees based in the UK Apply for this job Full Name Email Phone Canada +1 Single Line Text File Upload Click or drag a file to this area to upload.

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams, potentially while mentoring more junior colleagues Create analytics environments and resources in the cloud or on premise, spanning data engineering and science Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What you bring to the table Enthusiasm about using machine learning for science and engineering Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly Excellent collaboration and communication skills - with teams and customers alike (For more experienced candidates) Passion and track record of managing, mentoring and coaching more junior colleagues 3-6 years' experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Ability to scope and effectively deliver projects What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Apply for this job To apply, please submit your information as requested in the application form. Fields include name, email, resume/CV, and other standard details as indicated in the form.

Job Sector: TransportInfrastructureDefenceEnergyCross Sector At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we've been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals-all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. We're proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024. Why Join Movar? Movar is in an exciting period of growth, and there's never been a better time to be part of our journey. We're building something special-scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we're keen to build a team that is as ambitious as we are. Our IDEAL Values: Integrity - We do the right thing, always. Drive - We push boundaries and strive for excellence. Empathy - We care deeply about our people and clients. Adaptability - We embrace change and thrive in it. Loyalty - We stand by each other and our mission. Job Summary. We are seeking a Principal AI Engineer with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate will drive innovation by architecting cutting edge agentic AI solutions, leading technical teams, and establishing Next Practice for AI development across the organisation and industry. This is a high-impact role that requires both technical excellence and leadership acumen to shape the future of AI within our company and mentor the next generation of AI engineers. Key Responsibilities. Technical Leadership & Architecture: With Pillar Lead, define and execute agentic strategy for Movos platform. Lead the design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects. AI/ML Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, data scientists, and data engineers. Foster a culture of technical excellence, continuous learning, and innovation within the Agentic Engineering team. Collaborate closely across pillars to deliver impactful AI solutions. Research & Development: Stay at the forefront of AI research and emerging technologies, evaluating and integrating cutting edge techniques into our technology stack. Contribute to open source projects and represent the company at technical conferences and industry forums. Drive proof of concept initiatives and experimental projects to explore new AI capabilities. Technical Governance & Quality: Establish robust testing frameworks, performance monitoring, and quality assurance processes for AI systems. Ensure AI solutions meet enterprise standards for reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit Learn, Transformers), cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building production scale AI systems with focus on performance, reliability, and maintainability. Expertise in software architecture, distributed systems, and DevOps/MLOps practices. Leadership & Collaboration: Demonstrated ability to lead technical teams, drive consensus on technical decisions, and collaborate effectively across departments. Experience mentoring engineers and fostering technical growth. Innovation & Problem Solving: Track record of solving complex technical challenges and delivering innovative AI solutions that create measurable business impact. Qualifications & Experience. Demonstrable experience in AI/ML engineering, with at least 2 years in a senior technical leadership role. Master's or post graduate degree in Data Science, AI Engineering, or related fields requiring statistical rigour. Master's or PhD in a technical field requiring statistical rigour. Proven track record of leading the development and deployment of production AI systems at scale. Strong publication record or contributions to open source AI projects preferred. Experience with modern software development practices including CI/CD, testing frameworks, and agile methodologies. Office Address : Unit 3 Knot House, 6 Brewery Square, London SE1 2LF Movar Group Limited is registered in England and Wales number: VAT No: GB

Vestiaire Collective is the leading global online marketplace for desirable pre loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh and Hong Kong and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We currently have a diverse global team of 700 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. We are proud to be a BCorp. About the role We are seeking a highly skilled and experienced Staff Data Scientist to join our Operations and Customer Service department. You will be instrumental in developing advanced AI models that enhance both internal operational workflows and customer-facing experiences. This includes building systems that help our Curation team verify product quality and authenticity from customer-provided descriptions and images, as well as exploring and delivering new models aimed at improving how customers interact with our platform. The role requires strong end to end machine learning expertise and a user centric mindset to drive measurable improvements in accuracy, operational efficiency, and overall customer experience. What you will do Design and own end to end AI/ML solutions for item quality and authenticity detection, spanning: Image analysis (detecting marks, defects, wear, size inconsistencies). Text and metadata understanding (brand, sizing, category anomalies). Counterfeit and fraud detection models; Design, prototype, and iterate on AI models that directly power and improve customer facing experiences on our platform (e.g., smarter assistance). Collaborate closely with the Product and Curation teams to define requirements, integrate AI models into their workflow, and provide insights to enhance their verification processes. Advise and direct data/feedback collection for continuous improvement and monitoring of the performance of the models. Perform rigorous model evaluation, A/B testing, and continuous improvement of AI models. Work with engineering teams to ensure seamless deployment and integration of AI models into our existing platforms. Research and stay updated on the latest advancements in AI, machine learning, deep learning and computer vision to identify new opportunities and best practices. Mentor senior and mid level data scientists, raising the technical bar on modeling, data quality, and experimentation best practices. Communicate complex technical concepts and findings to both technical and non technical stakeholders. Who you are 6+ years of experience in data science, machine learning engineering, or AI development, with a strong focus on computer vision applications and customer facing models. Deep expertise in applied AI/ML (computer vision, anomaly detection, fraud/risk modeling). Track record of leading technical initiatives and influencing decisions across teams. Experience in architecturing, deploying, and maintaining AI systems at scale. Proficiency in programming languages such as Python and experience with relevant libraries/frameworks (e.g., TensorFlow, TorchServe, TensorflowServing, PyTorch, scikit learn, spaCy, Hugging Face Transformers, OpenCV). Deep understanding of machine learning algorithms, statistical modeling, and data manipulation techniques. Experience with data visualization tools and communicating insights effectively. Strong problem solving skills, with the ability to tackle complex, ambiguous problems. Ability to work independently and collaboratively in a fast paced, global team environment. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus. Experience building or maintaining customer service chatbot systems is a plus. Familiarity with database technologies (SQL, NoSQL) and cloud data warehouse (BigQuery/Snowflake). Excellent communication and interpersonal skills. Fluency in written and spoken English (please send your application in ENGLISH only). Our Tech Stacks includes Deep Learning & ML frameworks & Libraries: PyTorch, Tensorflow, Scikit learn, OpenCV, TorchServe, TensorflowServing. Model serving: Airflow, Torchserve, TFServing, Triton Inference Server, REST APIs, gRPC. Deployment: K8s. What we offer A meaningful job with an impact on the way people consume fashion and promote sustainability. The opportunity to do career defining work in a fast growing French born scale up. The possibility to work as part of a globally diverse team with more than 50 nationalities. Two days to help Project - reinforcing your activist journey and volunteer for an association. Significant investment in your learning and growth. Competitive compensation and benefits package. As full member of our entrepreneurial project, you will be eligible to free shares. Research indicates that people from under represented backgrounds- including women, people with disabilities, and other marginalized communities- often hesitate to apply for roles unless they meet every single requirement. At Vestiaire Collective, we believe that talent comes in many forms, and we're committed to creating an inclusive environment where everyone can thrive. Your unique perspective could be exactly what our team needs, so we encourage you to apply even if you don't tick every box. Vestiaire Collective is an equal opportunities employer Beware of Scams Vestiaire Collective only contacts candidates via official emails ending or . We never use WhatsApp, Telegram, or similar apps for job offers, nor will we ever request payments or banking details. If you receive a suspicious message, please report it to

Our Principal Data Engineers are responsible for leading and delivering strategically significant, complex client engagements across our portfolio of clients. We believe that great delivery stems from a thorough understanding of our clients and their needs, strong discipline skills and subject matter expertise, excellent leadership and a clear vision of lasting and effective change in a public sector environment. We expect our Principal Data Engineers to bring all of that and enthuse our delivery teams with the same passion. The successful candidate will lead the Data Engineering aspects of our client engagements while overseeing the wider delivery within the account (or industry) when appropriate. They will coach and develop team members on their engagements providing them with detailed performance feedback, as well as monitoring overall delivery to achieve the highest levels of client satisfaction. In addition, our Principal Data Engineers are responsible for engaging with our clients to understand their challenges and build lasting, trusted advisor relationships. They will also oversee multiple, concurrent client deliveries to help ensure quality and drive the sharing of best practice across our engagements and industries. Key responsibilities Our Principal Data Engineers are members of the Data & AI Practice leadership team with the responsibility to develop the capability of the practice to meet business needs and to accelerate the growth of the practice, their account and the wider business. You will be responsible for the practice and service line-specific delivery elements of your engagement/account as well as a shared ownership for the overall delivery of client outcomes. You will leverage your client and delivery insight to support the account and industry teams to identify opportunities and develop client solutions. The right person for this role will do this by combining their technical discipline/craft experience, leadership skills and industry network with Made Tech's unparalleled experience of delivering digital services and digital transformation for the Public Sector. Responsibilities Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices. Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge Participate in business development activities, including bids and pre-sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events Skills, knowledge and expertise Clients Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user-centric approach Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients Experience building trusted advisor relationships with senior client stakeholders within the public sector. Leadership Experience of building and leading high performing, consulting teams and creating the leveraged engagements to provide a cost-effective, profitable, successful client-facing delivery Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry Experience of managing third-party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients. Practice Experience in delivering complex and difficult engagements that span multiple capabilities for user-facing digital and data services in the public sector Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity Experience of working with sales professionals and commercial responsibility for strategic organisational goals. While this is not a hands-on coding technical role, the importance of credibility in approach to digital, data and technology in the public sector cannot be understated. You will be expected to maintain a broad technical knowledge of modern data practices, be able to shape data strategy and roadmaps, and hold others to account for technical quality. Experience working directly with customers and users within a technology consultancy Expertise in shaping data strategy and approaches to quality, ethics and governance. Experience in developing a data capability or function Combining data science, analytics and engineering Strong understanding of various architectures including data warehouses, data lakes, data lake houses and data mesh Strong understanding of best practice DataOps and MLOps Up-to-date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala, R and SQL Up-to-date understanding of various databases and cloud-based datastores including SQL and NoSQL Up-to-date understanding of cloud platforms including AWS and/or Azure and their data offerings Evidence of self-development - we value keen learners Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: ️ 30 days Holiday - we offer 30 days of paid annual leave + bank holidays! Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility.Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. Our hiring process is designed to be thorough, transparent, and supportive, guiding candidates through each step. The exact process may vary slightly depending on the role but these are the typical steps candidates can expect. We'll keep you updated throughout the process and provide helpful feedback at each stage. No matter the outcome, we make sure the feedback is useful and supportive, so you feel informed and can learn from the experience. Register your interest to be notified of any roles that come along that meet your criteria.

Improve the safety, efficiency, and sustainability of the operations that power the global economy. Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Join Samsara as a Staff Software Engineer, focusing on our Developer Ecosystem and its critical role in the company's broader data and AI strategy. You will be a key technical leader, responsible for architecting and guiding high-impact, cross-functional initiatives that shape the future of our external integrations. This role is pivotal in connecting our core developer products (API, Eventing, Lambdas, Marketplace) to the company's next-generation AI and data platforms. You will be a force-multiplier, empowering our largest enterprise customers and our internal engineering teams to build scalable, intelligent, and deeply integrated solutions on the Samsara platform. This is a remote position open to candidates residing in Poland or the United Kingdom. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact - helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win - together. In this role, you will: Architect the end-to-end data integration strategy, evolving our high-throughput Eventing platform (Kafka) into a comprehensive data pipeline. Drive the strategy and architecture for our serverless compute (Lambda) capabilities, enabling developers to run complex logic. Establish and champion the technical vision and architectural governance for our external API framework, ensuring consistency, scalability, and a world-class developer experience across all of Samsara's product lines. Act as a technical leader across the organization, mentoring senior engineers, leading design reviews for complex systems, and aligning stakeholders toward a unified technical direction. Partner with senior leadership (Product, Engineering) and our largest enterprise customers to define and execute a multi-year technical vision for Samsara's developer and data platform. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: Deep, systems-level expertise in designing, building, and operating high-throughput, large-scale data streaming systems (e.g., Kafka). Proven experience in architecting and implementing AI-first data strategies, with a strong understanding of how event streams (Kafka) integrate with data lakes and data warehouses in a modern LakeHouse architecture. Demonstrable experience with serverless compute architectures (e.g., AWS Lambda) and their associated design patterns and trade-offs. Extensive experience in designing, building, and providing governance for large-scale, public-facing APIs (GraphQL preferred). A track record of leading complex, multi-team, and multi-quarter technical initiatives from inception to delivery. An ideal candidate also has: Experience with managed event streaming platforms (e.g., Amazon MSK, Azure Event Hubs, Google Cloud Pub/Sub). Deep familiarity with cloud data warehousing and data lake solutions (e.g., Snowflake, Databricks). Experience with ML/AI model deployment and MLOps infrastructure. At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more. Take a look at our Benefits site to learn more. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in or . For more information regarding fraudulent employment offers, please visit our blog post here . Samsara's Mission Improve the safety, efficiency, and sustainability of the operations that power the global economy.

Principal Applied AI Engineer Department: Services Employment Type: Permanent Location: Remote, UK Description Colibri Digital is a specialist engineering consultancy delivering advanced data and AI solutions for clients across sectors including finance, healthcare, logistics, government, and technology. As trusted partners of AWS and Databricks, we help organisations design, build, and scale intelligent systems that deliver measurable business outcomes. We lead from the front in Generative and Applied AI adoption - guiding clients from uncertainty to confident, delivering production grade AI implementation. The Role We're looking for a Principal Applied AI Engineer to shape and build AI systems that make a tangible impact. You'll work closely with clients and cross functional teams to design and deliver scalable, production ready AI capabilities - from intelligent automation to generative applications. This role is ideal for someone who thrives in ambiguity, mentors others with confidence, and enjoys bridging design, engineering, and delivery. Key Responsibilities Lead technical discovery and delivery for AI engineering engagements, taking clients from concept to production. Design, build and deploy applied AI systems that integrate seamlessly with existing software and data platforms. Develop and maintain backend systems, APIs, and frontends in alignment with software engineering best practices. Mentor and develop engineers (both within Colibri and client teams), building capability and confidence. Define and uphold best practices in AI engineering, including robust architecture, testing, and deployment. Partner with data scientists, product managers, and delivery leads to ensure AI solutions are practical, ethical, and aligned with business outcomes. Contribute to Colibri's internal capability development; shaping frameworks, patterns, building reusable code repositories or other assets and thought leadership in applied AI. Represent Colibri as a trusted technical advisor, communicating complex AI concepts clearly to non technical audiences. Skills, Knowledge and Expertise Proven experience in a senior or principal engineering role within an AI technology consultancy or AI driven product organisation, delivering AI models, systems and products to production. Strong foundation in software engineering with hands on experience building and deploying production grade AI or ML enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming language (Python preferred) and modern software delivery practices (CI/CD, containers, orchestration). Experience mentoring engineers and guiding clients through AI adoption and delivery. Excellent communication and stakeholder management skills, able to lead with empathy and clarity in complex client environments Desirable Experience integrating Generative AI, retrieval augmented generation (RAG), or similar architectures into production systems. Strong background in consultancy, digital transformation, or multi industry project delivery. Contributions to open source projects or AI engineering communities. What you can expect from us Remote first working with flexibility around client needs. Private health insurance Projects with global brands & public sector leaders, working on real world impact A collaborative culture of excellence and continuous improvement Competitive salary, bonus structure, and long term growth opportunities

A leading technology institute in Oxford is seeking a proactive platform engineer to architect and automate their cloud platform. This role will involve building resilient infrastructure, implementing governance, and partnering with research teams. Ideal candidates will have experience with major cloud providers and be proficient in Terraform and Kubernetes. Competitive benefits are offered, promoting a collaborative and inclusive work environment.

Principal Product Manager, AI Video-Based Safety Platform Remote - UK Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: This is a defining opportunity for a Principal / Staff Product Manager to serve as the Product Visionary for the next generation of our Video-Based Safety platform. Safety is Samsara's most critical value proposition, and this role sits at the absolute cutting edge of Applied AI and Computer Vision. We are looking for an inventor and leader to define a new paradigm for industrial safety. You will be responsible for defining the 3-5 year platform vision and architecture that leverages our trillion-scale data footprint to solve problems that no other company can. You are expected to operate at the highest levels of ambiguity, defining the intersection of Computer Vision, edge computing, backend data science, and user workflow. Your product decisions will have a measurable, positive impact on saving lives and driving multi-hundred-million dollar growth trajectories for the company. This is a chance to move beyond execution and take on a mission that defines the future of AI for one of the fastest-growing companies in the world. To better understand the scale and mission of this team, we encourage you to review the Samsara Cameras product overview here , and watch our SVP of Safety, Johan Land, discuss our AI-powered safety platform here . You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact-helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. In this role, you will: Pioneer and own the 3-5 year strategic vision and roadmap for the Video-Based Safety platform, positioning it as a multi-hundred-million dollar platform that drives category creation and market leadership. Set the technical direction for the next generation of our AI/ML systems, driving complex product-engineering efforts in areas like foundation models, real-time edge processing, and large-scale data annotation pipelines. Influence executive leadership and cross-functional teams on critical resource allocation, long-term investments, and strategic partnerships required to deliver your vision. Mentor and coach other product managers and technical leaders across the Safety organization, raising the bar for product strategy and execution. Define the highest-impact product opportunities by synthesizing macro market trends, competitive shifts, and deep customer needs into clear, bold product specifications. Champion, role model, and embed Samsara's cultural principles as we scale globally. Minimum requirements for the role: 10+ years of progressive product management experience with a demonstrated track record of defining and shipping multi-product, multi-year platform strategies that resulted in organizational or industry-level transformation. Prior experience shipping features that rely heavily on Machine Learning, Computer Vision (CV), or large-scale IoT data processing. Undergraduate or graduate degree (MS, PhD, or MBA) in Computer Science, Engineering, or a related technical field. A strong technical acumen that enables you to lead strategic trade-off discussions regarding model architecture, training, and deployment at massive scale. Proven ability to operate in extreme ambiguity, using data, first-principles thinking, and exceptional judgment to make high-stakes investment choices. Exceptional executive-level communication and presence, comfortable and effective presenting and defending strategy to the CEO, CPO, and external audiences. An ideal candidate also has: A deep understanding of data quality, labeling pipelines, and MLOps best practices in a production environment. Experience in a Principal PM, Group PM, or Director of Product role at a high-growth, high-talent-bar technology company. Prior experience defining the product strategy for a SaaS product built on a hardware/software integrated system. At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more. Take a look at our Benefits site to learn more. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in or . For more information regarding fraudulent employment offers, please visit our blog post here . Samsara's Mission Improve the safety, efficiency, and sustainability of the operations that power the global economy.

About Provectus At Provectus, we architect enterprise-grade AI and data solutions that transform how organizations leverage their most valuable asset - data. We combine deep technical expertise with strategic product thinking to deliver scalable, production-ready AI systems and modern data platforms. Who We're Looking For We're seeking a Senior Technical Product Manager with strong engineering acumen and product leadership experience to drive sophisticated AI and data platform initiatives. You bring the technical depth to engage in architecture discussions, evaluate trade-offs, and make informed decisions about complex system designs - while maintaining focus on business value and user outcomes. You're a technical translator who bridges the gap between possibility and practicality, helping clients navigate the rapidly evolving AI landscape with confidence. Your background allows you to assess technical feasibility, identify risks early, and guide engineering teams toward optimal solutions. What You Will Do: Architect Product Strategy for Technical Platforms: Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives. Lead technical product discovery - evaluating emerging technologies (GenAI, Agentic AI, vector databases, streaming architectures) and assessing fit for client use cases. Design solution architectures in collaboration with data architects and engineers, making build vs buy decisions and technology stack selections. Develop technical roadmaps balancing innovation, scalability, security, and time to value. Drive AI/ML Product Development: Own end to end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi modal AI systems. Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns. Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments. Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops. Manage Complex Data Platform Initiatives: Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations. Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns. Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management. Partner with data engineering teams on performance optimization, cost management, and scalability planning. Execute Through Agile Delivery: Facilitate Agile ceremonies and maintain well groomed backlogs with properly sized, technically detailed Features and epic level stories. Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies. Define sprint goals aligned with quarterly objectives and long term product vision. Balance technical debt management with feature delivery, advocating for enablers and architectural improvements. Enable Technical Decision Making: Conduct technical due diligence, proofs of concept, and spike solutions to validate approaches before full investment. Analyze trade offs between competing technical solutions, considering performance, cost, maintainability, and developer experience. Document technical decisions, architectural decision records (ADRs), and design patterns for knowledge sharing. Communicate technical strategies and recommendations to executive stakeholders with clarity and conviction. What You Bring: Required Qualifications: Bachelor's degree in Technology or Business related field (Master's preferred). 5-7+ years of experience in technical product management, solutions architecture, or software engineering. 5+ years in product management roles with demonstrated end to end product ownership. 3-5+ years of experience with AI/ML products, Generative AI, or data platform development. 3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies. Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies. Technical Expertise: AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies. Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines. Core Competencies: Solution design and technical architecture capabilities. Requirements translation from business needs to technical specifications. Strong analytical thinking and problem solving in complex technical domains. Exceptional stakeholder management across technical and non technical audiences. Clear technical communication-documenting complex systems and presenting architectural decisions. Risk identification, dependency mapping, and mitigation planning. Preferred Qualifications: Prior software development or data engineering experience (3+ years). Background in consulting or professional services, delivering client solutions. Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product Owner. Personal Attributes: Insatiable curiosity about emerging technologies and a hands on experimentation mindset. Close attention to detail with quality focus and commitment to technical excellence. Collaborative team player who thrives in cross functional environments. Adaptable and comfortable navigating ambiguity in fast paced consulting contexts. Passion for mentoring engineers and elevating technical practices. Why Join Us: Lead top tier engineering teams and cutting edge agentic AI systems, enterprise AI platforms. Shape how enterprises adopt AI - from strategy to architecture to delivery. Grow within a team building modern AI delivery practices, tools, and frameworks. Remote friendly culture with strong engineering, data, and consulting partnerships.

Basic Information Location: Belfast Business Area: Consulting Description and Requirements When you join KPMG Ireland, you are joining a community of over 4,200 employees who collectively work together, both in person and virtually, to achieve their full potential. We are known as an organisation who want you to come as you are and do work that truly matters. Joining KPMG Ireland is an opportunity to enhance your career, not only in the work that you enjoy doing, but equally through the global connections that you make, the lifelong learning that you can accomplish and the chance to make your mark. Location: Belfast, as part of our hybrid working model. Grade: Senior Consultant Contract type: Permanent Are you our next Data Scientist at Senior Consultantlevel to join our Belfast Centre of Excellence? Who You Are: You have 3-4 years' experience in delivering scalable Analytics and AI solutions in large, complex organisations, with a focus on end-to-end delivery of advanced analytics and AI initiatives. You like to solve problems and data is your raw material. You architect and build solutions to issues by applying analytics and AI techniques to client data. You translate complex business problems into a roadmap of technical tasks, utilising a variety of tools, capabilities and technologies. You are comfortable working with data of all kinds, from structured data to free text, images and video. You have built a specialist skill set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support for those who are keen to grow into the role. You can demonstrate a problem solving mindset, taking responsibility for delivering an outcome. You want to be a specialist with cutting edge skills and desire to be always relevant. You can translate technical insights into compelling narratives for clients and stakeholders and are comfortable contributing to presentations and client facing materials. You enjoy working in multi disciplinary teams, including data engineers, data scientists, AI specialists and business and process SMEs. You understand that delivery is a team sport and work collaboratively to achieve sustainable results, while learning from and mentoring your colleagues. You have a growth mindset and want to be part of a team that is innovative, yet confident in high quality delivery. Preferred Technical Experience We don't expect you to tick every box but if you're excited about the role and bring some of the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus. Comfort working in cloud based or secure environments, with an interest in MLOps or model deployment. Awareness and practice of responsible AI, data ethics, and governance frameworks. Willingness to explore emerging technologies such as agentic AI, GitHub Copilot, Microsoft Copilot and Copilot Studio. What you will be doing: You will be working as part of a wider team, dedicated to using to extract actionable intelligence from data, to deliver on a client's strategy. You will liaise with internal and client SMEs to understand the data and technology landscape, propose and design analytics and AI solutions and deliver client outcomes. You will be building skills as you deliver, continuously learning, to deliver optimal outcomes. You will work with clients, build relationships and earn a trusted advisor brand. You will be conversant with the continuously changing data and technology landscape to stay at the forefront of your field. You will be part of the Go To Team for all things Analytics and AI. You will be responsible for client delivery in a typically fast paced environment. What you can expect: Building a pioneering innovation and delivery team in the data, analytics and AI space is a strategic objective of KPMG Ireland. You can expect support from the highest leadership in the company to grow and develop your skills to help lead the markets. You will be hands on, working across functions and industries, continuously learning and building your skills. You will be expected to be consulted and participate in solving client issues. Discover How KPMG Can Enrich Your Life Beyond Your Career Benefits Tailored for You At KPMG, we understand that life is multifaceted. That's why we offer a flexible benefits package designed to support your unique lifestyle. Our benefits include: Discounted Health Insurance: Prioritise your well being with our health insurance options. Additional Annual Leave: Purchase extra leave to spend more time with friends and family or to travel. Enhanced Family Leave: Enjoy more time with your family with our generous leave options. Emergency Childcare Cover: For times when your regular childcare plans fall through Social Events: Connect and network with colleagues through our engaging social events. Early Finish Fridays: Start your weekends early on bank holidays and during the summer. Relocation Assistance: Smooth your transition if you're moving to Ireland. Learning & Development: Access our extensive supports, including LinkedIn Learning, to grow your skills. We also offer a variety of flexible working options to help you balance your professional and personal life. Career Progression with Continuous Support From the moment you join KPMG, you'll receive dedicated support from your performance manager to enhance your skills. Our award winning Business School provides continuous learning opportunities to deepen your expertise. We stand out as the only Big Four firm to announce promotions four times a year, offering you frequent opportunities for career advancement. Commitment to Inclusion & Diversity Inclusion, diversity, and equity are at the heart of KPMG. We celebrate diverse backgrounds, experiences, and perspectives, and we're committed to fostering an inclusive and equitable environment at every level. Our goal is to attract and retain the best talent by building a culture where everyone can achieve their potential. Learn more about our commitment here - Ready to Join Us? If you meet most of the criteria, we encourage you to apply by submitting your CV. KPMG is an equal opportunities employer, welcoming applications from people of all backgrounds. We are happy to provide reasonable accommodations during the recruitment process if needed. Necessary arrangements can be made at interview stage to accommodate the needs of candidates with disabilities. For any specific queries about the role, please contact Shauna Maguire. For a glimpse into life at KPMG, follow on LinkedIn, Instagram, TikTok, and X. Please note that agency assistance is not required for this position. By clicking apply to this role your application will not only be considered for this position, but your details will be stored on our database and may be considered for similar future positions that may arise. This means that the personal data contained in your application and provided to KPMG as part of the application process may be retained by us for up to 18 months from the date of your application and you hereby agree to that. If you do not wish your details to be stored on our recruitment database, please email stating this and we will ensure that such information is not stored other than for the purposes of this application.