6 jobs found

GenAI Full Stack Engineer - Managing Consultant Salary: £77,000 - £88,000 pa + £8,000 Bonus plus benefits, perks and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Newcastle, Glasgow Overview: We're looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You'll work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.

GenAI Full Stack Engineer - Managing Consultant Salary: 77,000 - 88,000 pa + 8,000 Bonus plus benefits, perks and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Newcastle, Glasgow Overview: We're looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You'll work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.

Job title: Senior Machine Learning Research Engineer Salary: £64,490 - £86,255 Location: Cambridge - Triangle/Hybrid (2 days per week in the office)  Contract: Permanent Hours: Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services.  About the Role  As a Senior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs.  Key Responsibilities:  Technical lead in designing full-cycle AI solutions, including data collection and pipelines for reusable analysis, and monitoring and maintenance regimes for continuous development.  Research, develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products.  Estimate time, cost and outcomes of technical solutions, and manage risks to ensure prompt delivery. Collaborate with product, validation, and business teams to transform capabilities into impactful product features, while setting appropriate expectations. Plan work and resources, including adoption of new tools, to ensure that the machine learning team stay at the forefront of AI and machine learning trends and position Cambridge as a leader in AI-driven.  Mentor junior team members.  About You  To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions.  Essential Qualifications & Skills :  Master's degree (or equivalent qualification and experience) in machine learning or AI/computer science with substantial machine learning component. Proven hands-on industry experience (minimum 5 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments.  Strong track record of successfully translating academic research into real-world applications and products.  Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery  Deep experience in Python and PyTorch/TensorFlow.  Industry experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS).  Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.  Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders, translating business requirements into technical solutions.  Proactiveness in communicating issues and suggesting solutions.  Stay current with state-of-the-art research and applying emerging AI techniques to solve business problems.  Ability to supervise a sub-team and mentor junior colleagues (can be developed on-the-job).  Desirable:  PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field.  Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems.  Experience in applying machine learning to educational assessment and learning solutions  Experience in leading research initiatives, contributing to patents, or publishing papers in machine learning or related AI fields.  Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible  rewards package , featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now.  We review applications on an ongoing basis, with a closing date for all applications being 29 March 2026  although we may close it earlier if suitable candidates are identified. We'll set up interviews on a first-come, first-served basis. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the  gov.uk  website for guidance to understand your own eligibility based on the role you are applying for. Why join us Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's exploring new and better ways to serve students, teachers and researchers across the globe – for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration.  Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it's safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

Join us on a transformative journey as a Solution Architect-Component Designer Assurance & AI, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Operational Support Systems (OSS) & Tools is a newly formed functional unit in the Network Product domain at Barclays. The Barclays OSS & Tools Engineering team is responsible for the design, build and operate of the underlying OSS infrastructure and toolchain across cloud, data centre, campus and branch that are required to run the Barclays Global Network at scale. To be successful as a Solution Architect, you should have experience with Demonstrable experience of building high scale observability solutions using open-source tooling like ELK, Grafana, Prometheus, Nagios, Telegraf and others. Knowledge and demonstrable hands-on experience with middleware technologies (Kafka, API gateways and others) and Data Engineering tools/frameworks like Apache Spark, Airflow, Flink and Hadoop ecosystems. Understanding of network technology fundamentals, Data Structures, scalable system design and ability to translate information in a structured manner for wider product and engineering teams to translate into working solution. Some other highly valued skills may include Knowledge of DevOps tooling, GitOps, CI/CD, configuration management, Jenkins, build pipelines and source control systems. Working knowledge of cloud infrastructure services: compute, storage, networking, hybrid connectivity, monitoring/logging, security and IAM. Programming experience in one of the highlevel languages like Python, Java, Golang and NetDevOps automation and AI engineering (GenAI/Agentic AI), API service development. Proficiency in Agile Methodologies Scrum/Kanban, backlog and workflow mgmt. and SRE specific reporting (MTTR, deployment frequency, SLO and others) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills Location is Knutsford Purpose of the role To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. Accountabilities Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms. Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc. Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank's resiliency expectations. Solutions that appropriately balance risks and controls to deliver the agreed business and technology value. Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate. Fault finding and performance issues support to operational support teams, leveraging available tooling. Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs. Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Locations: Boston London Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Join the Data Layer Team, a global portfolio transforming our organization into a data-driven enterprise! The Data Layer Team is a portfolio of 30 people who build essential data platforms, products, and capabilities to empower our clients and colleagues with high-quality, actionable insights. Our focus is on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company. As Use Case Enablement Product Analyst within BCG's Data Layer Team, you will collaborate with Use Case Enablement Product Owner and cross-functional teams to gather and analyze business and data requirements. Your role is critical to bridging the gap between business stakeholders and technical teams, ensuring that new GenAI use cases are well-scoped, feasible, and aligned with user needs. You will work with various Gen AI use cases and applications, including: Consultant Journey - internal GenAI assistants that changes the way consultants work to provide value to our clients. Practice Area GenAI applications - developed by functional practice areas to support various capabilities (e.g., outside-in rapid cost diagnostics or Accelerated Cost Analysis). Data catalog - a centralized library that provides consulting teams with access to critical tools and data assets across BCG These tools require ingestion of multiple data sources, and your role will be to support the selection of eligible datasets and identify the best sources for each GenAI use case. You will ensure that these use cases and applications are equipped with the necessary data pipelines to maximize their impact on business and users. You will play a key role in use case discovery and requirements refinement, while also managing the continuous maintenance and enhancement of data asset quality, accuracy, and stability to support evolving use cases. Detailed responsibilities include: Deliver business results and customer value Support the development of GenAI-enabled data products by helping translate business needs into actionable data requirements Help to define requirements for user stories and structure the backlog with a focus on measurable outcomes Help shape GenAI-enabled use cases that contribute to real business impact, through thoughtful prioritization and attention to detail Participate in evaluating use case success metrics and learn from what works (and what doesn't) Serve as the voice of customer or end-user Translate business needs into user stories, engaging end users for continuous feedback Engaging in continuous data discovery exercises to understand most valuable data assets that satisfy customer needs Balance customer value, technical feasibility, and business impact when making prioritization decisions Work with product teams to integrate GenAI-enhanced offerings into BCG systems and workflows Deliver high-quality outcomes Collaborate with engineers, architects, and product teammates to test and validate data pipelines - ensuring solutions are robust, accurate, and useful Contribute to documentation that helps others understand the "why" and "how" behind what's been built, supporting long-term scalability and reuse Work with stakeholders across BCG (e.g., Practice Areas, Knowledge Teams) to ensure data products are grounded in real needs and enable meaningful use Share observations, risks, or open questions early-your input helps the team avoid missteps and refine solutions before they reach users YOU'RE GOOD AT Being user-focused - Deeply understanding and translating business needs into GenAI-enabled solutions, ensuring offerings address real user challenges Communicating with transparency - Clearly and openly engaging with stakeholders at all levels, ensuring alignment, visibility, and trust across teams Bringing a data-driven approach to decision-making - Leveraging qualitative and quantitative insights to prioritize initiatives, measure impact, and refine solutions Facilitating data discovery sessions - Engaging business stakeholders to capture business context, user intent, and data solution objectives Breaking down complex challenges - Applying critical reasoning and creative problem-solving to analyze problem statements and design effective, scalable solutions Collaborating with product and technical teams - Working closely with POs, engineers, and data stewards to ensure solutions meet expectations and constraints Collaborating with development teams - Ensuring prioritized data sources align with GenAI solution requirements, business objectives, and technical feasibility Defining and tracking KPIs - Establishing measurable success metrics to drive squad performance and ensure data products align with OKRs Documenting thoughtfully - Creating simple, clear artifacts (e.g., data definitions, flow diagrams, test plans) that others can build from Contributing to continuous improvement - Bringing curiosity and a mindset of learning, always looking for ways to improve how the team works or deliver What You'll Bring 4-6+ years of experience in a product analyst, business analyst, or data analyst role -ideally supporting data or AI-related projects Project management skills, with ability to build project plans, track progress, drive alignment and manage risks Proven experience in AI, GenAI, or data product development, preferably with a focus on GenAI powered user-facing applications Experience in enterprise software development, data engineering, or AI-driven transformation initiatives Experience working with structured and unstructured data, and familiarity with modern data platforms (e.g., Snowflake, AWS, SharePoint) A working knowledge of agile ways of working, and openness to learning through iteration and feedback Understanding of enterprise data governance, AI model integration, and scalable data architecture Familiarity with AI/ML technologies, including GenAI models (e.g., OpenAI GPT, RAG, fine-tuning models, or machine learning frameworks) Good communication skills, especially when collaborating across different functions or surfacing potential risks or questions Familiarity with tools like JIRA, Confluence, Excel, or lightweight data catalog platforms is a plus Experience in a consulting or client-service environment is helpful, but not required Who You'll Work With BCG Global Consulting Practice Areas (Functional & Industry) and Data Teams - Partnering with business leaders to transform prioritized offerings into GenAI-enabled solutions, collaborating with teams such as the Data Product Portfolio, Data Governance CoE, Master Data Management, Enterprise Architecture, and Data Product Development Data Layer Offer Enablement Product Owner Lead (PO) - Aligning on strategic priorities, roadmap development, and execution Data Layer Offer Enablement Team - Collaborating amongst Data Product Analyst, and working alongside data engineers, lead architects, data stewards, and QA engineers Data Layer Data Governance Team - Partnering to ensure that data assets meet quality, metadata, and compliance standards, and are appropriately catalogued for reuse Product Teams - Collaborating with BCG's product team members to integrate required data sources into GenAI-enhanced offerings Agile Coaches - Embedding agile principles into daily work, leveraging coaching support to drive an iterative and user-focused approach to GenAI use case development Data Product Consumers (Internal Customers) - Translating their voice and needs into user stories, ensuring their requirements are reflected in the backlog, and actively engaging them for feedback and validation Additional info In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $102,000.00 - $137,333.33 This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 12% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. . click apply for full job details

Role Title: UI UX Lead (GenAI) Location: Glasgow Duration: 30/06/2026 Pay Rate:£450 MUST BE PAYE THROUGH UMBRELLA Role Description: Lead the design and delivery of intuitive, intelligent, and scalable user experiences for data products powered by GenAI, with a strong emphasis on natural language search and data discoverability. You will shape the UX/UI strategy for enterprise-grade tools that enable users to interact with complex data assets through conversational and visual interfaces. The role also demands hands-on development expertise in modern Front End frameworks and API integration to ensure seamless and performant user experiences. Key Responsibilities UX/UI Strategy & Leadership * Define and drive the UX/UI vision for GenAI-enabled data products. * Lead design efforts across multiple product streams, ensuring consistency and usability. * Collaborate with product managers, engineers, and data scientists to align design with business and technical goals. Design & Development Execution * Create wireframes, prototypes, and high-fidelity designs for NLP search interfaces and GenAI-powered workflows. * Develop and implement responsive, accessible, and performant Front End components using React and/or Angular. * Integrate with RESTful APIs and Back End services to enable dynamic data interactions and GenAI capabilities. * Conduct usability testing and iterate designs based on user feedback and analytics. GenAI & NLP Integration * Design interfaces that support natural language interactions, summarisation, and intelligent recommendations. * Collaborate with AI/ML teams to visualise GenAI outputs and integrate them into user workflows. * Translate complex data catalog structures into intuitive user journeys. User Research & Insights * Conduct user interviews, surveys, and behavioural analysis to inform design decisions. * Identify pain points in data discovery and usage, and propose UX solutions to address them. Governance & Standards * Establish design guidelines and reusable components for data products. * Ensure compliance with data privacy, ethical design, and security standards. Required Skills & Experience * Proven experience as a UX/UI Lead or Senior Designer in enterprise environments, with strong understanding of architectural principles and design patterns. * Strong portfolio showcasing design work for data-intensive or AI-powered applications. * Deep understanding of GenAI concepts, especially NLP search and conversational interfaces. * Hands-on development experience with React and/or Angular, including component architecture, state management, and performance optimisation. * Strong knowledge of API integration, including RESTful services, authentication flows, and error handling. * Proficiency in design tools (eg, Figma, Sketch, Adobe XD) and prototyping platforms. * Familiarity with HTML/CSS and Front End development principles. * Experience working in Agile teams and regulated industries (eg, financial services). Desirable Qualifications * Degree in UX/UI Design, Human-Computer Interaction, or related field. * Experience with data catalogues, metadata management, or data governance platforms. * Knowledge of ethical design practices and accessibility standards. * Exposure to GenAI frameworks and tools such as RAISE, vectorisation, and chunking strategies. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.