23 jobs found

We are seeking an experienced AI Architect to join a global consulting team. This role is central to shaping enterprise-scale AI transformations, combining deep technical expertise with strategic client engagement. As a Gen AI Architect, you will: Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions. Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Defining architectural patterns for end-to-end pipelines Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy. Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and hybrid environments. Drive thought leadership through client workshops, industry forums, and technical advisory. Ensure AI solutions meet governance, ethics, and responsible AI standards. Collaborate with internal teams and global partners to deliver world-class AI platforms. Key Skills & Experience: 10+ years of technical leadership (with a strong background in Software Engineering / Enterprise scale architecture) Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in AI or cloud technologies. If you have these skills and would like to find out more, please apply now

AI GTM Solution Engineer (GenAI / LLM / Pre-Sales) We re hiring an AI GTM Solution Engineer to help shape and deliver cutting-edge Generative AI (GenAI) and LLM-powered solutions for enterprise customers. This is a customer-facing pre-sales / solution engineering role where you ll design, prototype and demonstrate AI solutions, working closely with sales, product and engineering teams. Key Responsibilities Design and deliver AI / GenAI solutions aligned to customer use cases Build and showcase POCs, demos and technical presentations Work with LLMs, LangChain, OpenAI APIs and AI agents Support solution architecture, APIs, integrations and cloud deployments Collaborate across GTM, sales and engineering to refine offerings Requirements Experience in Solution Engineering, Pre-Sales, Sales Engineering or Technical Consulting Strong knowledge of LLMs, Generative AI, Machine Learning Hands-on with LangChain, OpenAI, GPT or similar tools Programming experience in Python Experience with APIs, integrations and REST services Cloud exposure: AWS, Azure or GCP Proven experience delivering POCs, demos or customer-facing solutions Desirable Experience building AI-powered enterprise solutions Background in startups or high-growth environments Exposure to AI agents or agentic workflows This is a high-impact opportunity to work at the forefront of AI innovation, influencing GTM strategy and delivering real-world AI solutions.

Site Reliability Engineer Location: Glasgow Role Type: Contract - 12 months Work Setup: Hybrid - 3 days in the office  Who We Are Robert Walters is the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. Who You Will Work With Our client is global financial services firm that manages wealth, navigates complex markets, and design strategic financial objectives. The firm provides risk management solutions across a variety of sectors, emphasizing long-term relationships, and innovative approaches to financial challenges.  What you'll do : Ensure reliability, availability, and performance of large-scale data and analytics platforms across DEV, QA, and PROD. Apply SRE principles to design resilient services, define SLIs/SLOs, and drive continuous reliability improvements. Automate workflows and tooling (primarily Python) to reduce operational toil and improve repeatability. Build and manage CI/CD pipelines for data pipelines, cloud platforms, semantic models, and services. Support release and change management, ensuring safe deployments, validation, and rollback readiness. Serve as a senior escalation point for incidents, performing root cause analysis and preventive remediation. Design and maintain monitoring, alerting, and observability for platform components and data workloads. Operate and optimize cloud-based data platforms (eg, Snowflake) for stability, scalability, and cost efficiency. Support deployment and reliability of AI-enabled services, including monitoring, failure handling, and runbook creation. Collaborate with engineering and product teams to ensure AI/analytics features are production-ready and safely integrated. Contribute to operational documentation, runbooks, and platform operating model improvements. What You Bring: 5+ years in SRE, production, or platform engineering with hands-on experience operating large-scale production systems. Strong Python automation and Scripting, CI/CD pipeline development, and modern software delivery practices. Experience with cloud data platforms (Snowflake preferred), relational databases (PostgreSQL, MySQL, Oracle, SQL Server), and troubleshooting across application, platform, and data layers. Knowledge of change and incident management in enterprise environments. Excellent communication and collaboration across teams. Technical competencies Monitoring, alerting, observability, infrastructure-as-code, Unix/Linux systems, basic networking. Desired/Nice-to-Have: Semantic data modelling, analytics platforms, and BI tools (Tableau, Power BI). Exposure to Snowflake Cortex or GenAI/LLM tools in production. Agile delivery experience (sprints, backlog refinement) and knowledge of ITSM processes. Experience supporting AI-enabled or analytics-driven platforms at scale in regulated enterprises. What's Next: If you are ready to take the next step, apply now. Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.

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.

Bolton As a data engineer specialising in generative AI ; this role will see you working in a developing international and transversal structure. You will have the responsibility to evaluate, build and maintain data sets for internal customers whilst ensuring they can be maintained. Salary: Circa £45,000 - £55,000 depending on experience Dynamic (hybrid) working: 2-3 days per week on-site due to workload classification Security Clearance: British Citizen Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more The opportunity: The MBDA IM GenAI delivery Office department is looking for an experienced data engineer able to evaluate design, deploy, improve and support MBDA data sets. You will ensure MBDA data pipelines are designed to be resilient, secure and responsive. You will use your data engineering expertise to collaborate with different internal customers regarding their data, ensuring they are optimised and secured for their needs. You will provide your knowledge in data management and data quality to guarantee compliance to MBDA data governance. A key part of this role is keeping up to date with new technology, where you will provide insight on our technology roadmap and deliver cutting edge solutions to our internal customers. What we're looking for from you: SQL technologies skills (e.g. MS SQL, Oracle ) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J ) Data exchange and processing skills (e.g. ETL, ESB, API ) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous Knowledge in the industrial and / or defence sector would be advantageous Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

Job Title: Head of Quality Engineering / QE Transformation Leader Location: London or Norwich (Hybrid role) Employment Type: Full Time A global technology organisation is seeking a Quality Engineering Transformation Leader to drive enterprise-scale QE modernisation, automation strategy and testing transformation across a complex multi-platform environment. This is a senior leadership role responsible for shaping the Quality Engineering strategy, test architecture, DevOps-aligned testing practices and automation frameworks across large delivery programmes. The successful candidate will work closely with CIO, CTO and senior engineering leadership, influencing the future of data-driven quality engineering and continuous testing. Key Responsibilities Lead enterprise QE transformation and modernisation initiatives. Define and implement automation-first testing strategies including UI, API, mobile and performance testing. Establish continuous testing aligned with DevOps and CI/CD pipelines. Drive adoption of cloud testing, test data management and environment strategy. Implement automation frameworks using Selenium, Playwright, Cypress or Appium. Build and lead large distributed QE teams across multiple programmes. Track quality metrics, productivity, automation ROI and defect trends. Partner with senior stakeholders to embed engineering-led quality practices across the organisation. Required Experience Extensive experience leading Quality Engineering, Test Engineering or QE Transformation programmes. Deep knowledge of automation frameworks (Selenium, Playwright, Cypress, Appium). Experience with API testing (REST Assured, Karate, Postman). Performance testing using JMeter or LoadRunner. Strong understanding of DevOps, CI/CD pipelines and cloud platforms (AWS, Azure, GCP). Experience building or leading large-scale QE teams and testing practices. Desirable Experience driving automation strategy and testing CoE transformation. Exposure to AI or GenAI in testing and quality engineering. This is a unique opportunity to lead enterprise-scale QE transformation and shape the future of modern quality engineering and test automation strategy

AI Design Analyst GenAI Copilot Business Analyst AI Consultant We are seeking an experienced AI Design Analyst / AI Business Analyst to lead the design and delivery of AI and Generative AI (GenAI) use cases within a complex, enterprise environment. This is a high-impact role focused on AI workflows, prompt engineering, and Copilot solutions, working across business and technology teams to define, design, and deliver AI-driven transformation. Key Responsibilities Define and shape AI use cases aligned to business objectives Design AI-enabled workflows, prompt patterns, and user journeys Apply prompt engineering, LLMs, and Copilot in real-world scenarios Conduct process mapping, requirements gathering, and stakeholder workshops Assess data readiness, feasibility, and AI risks (ethics, governance) Support MVP, prototyping, and AI solution design Key Skills & Experience Strong experience as AI Business Analyst, AI Consultant, or AI Product Analyst Hands-on experience with Generative AI, LLMs, prompt engineering, Copilot Expertise in process mapping, service design, and user journeys Experience working in data, digital, or AI transformation programmes Knowledge of Azure AI, Power Platform, or Microsoft AI ecosystem Strong stakeholder management across business and technical teams Desirable Experience in financial services or regulated environments Understanding of responsible AI, AI governance, and ethics This is an excellent opportunity to work on cutting-edge AI transformation, driving real business value through AI design, automation, and intelligent workflows

AI Product Developer (GenAI / LLM / Azure AI) Hybrid Immediate Start Contract We are hiring an experienced AI Product Developer / GenAI Engineer to design and deliver enterprise-grade LLM and Copilot solutions within a high-impact AI Foundry environment. This is a hands-on role focused on building scalable, production-ready AI systems using LLMs, RAG (retrieval augmented generation), vector databases, embeddings and Azure AI services. Key Responsibilities Design and develop LLM-powered applications, AI agents and Copilot solutions Build and optimise RAG pipelines, embeddings and vector search Integrate AI solutions with enterprise systems, APIs and cloud platforms (Azure) Implement secure-by-design AI engineering, monitoring and observability Develop reusable components including prompt libraries, agent frameworks and connectors Prototype, test and improve model performance, reliability and scalability Key Skills Strong experience with LLMs, Generative AI, RAG, embeddings and vector databases Hands-on with Azure AI / Azure OpenAI / cloud-native development Experience building production AI systems and API integrations Knowledge of DevOps, CI/CD, monitoring and observability Experience with LangChain, agent frameworks or Copilot Studio is highly desirable Desirable Experience in financial services or regulated environments Understanding of responsible AI, security and governance This role is ideal for a GenAI Engineer or AI Developer looking to build enterprise-scale AI products with real-world impact.

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.

Join Our Team as a Technical programme Manager - GenAI Safety & Experience (Customer Operations)! Are you ready to take on a pivotal role at the forefront of the GenAI revolution in customer support? We're on the lookout for a passionate and skilled Technical programme Manager to help us elevate safety and user experience standards in an AI-driven world. This is an exciting opportunity to be part of a transformative journey where your expertise will help shape the future of customer interactions! Position Details: Location: E1, London (hybrid) Contract Length: 12 months (with potential for extension) Start Date: ASAP Working Hours: Monday to Friday, 9 AM - 6 PM Pay Rate: 52.49 per hour Your Mission: As our Technical programme Manager, your core focus will be on ensuring that our GenAI tools not only scale effectively but also maintain and enhance safety detection capabilities. This role isn't just about automation; it's about creating a digital safety net that understands nuance, intent, and urgency. What You'll Be Doing: Standard Setting: Develop the criteria for "safe" and "empathetic" AI interactions in high-stakes scenarios. Tooling Rollout: Oversee the implementation of innovative GenAI features for safety investigations and risk detection. Risk Mitigation: Conduct "Red Teaming" on support bots to protect against safety protocol breaches. Cross-Functional Leadership: Collaborate with teams across Product Engineering, Legal, Privacy, and Global Safety Operations. The Profiles We Need: We're seeking "T-shaped" experts who can bridge the worlds of Product, Tech, and Data. Here's what you'll bring to the table: 1. Product & Technical programme Management (The Architects): - Drive the roadmap for GenAI integration within safety workflows. - Define the "Safety Standard" for AI responses and manage LLM-powered triaging. - Success Metric: Reduce "Safety False Negatives" and ensure smooth transitions from AI to human safety agents. 2. Data Science & Analytics (The Strategists): - Build feedback loops to train our safety models. - analyse conversational data for edge cases and perform sentiment analysis. - Success Metric: Improve model precision/recall for high-risk keywords and enhance "Safety Resolution Score." Qualifications: Experience: 7+ years in Product Management, TPM, or Data Science, ideally in Trust & Safety or Customer Experience. AI Fluency: Strong understanding of LLMs, prompt engineering, and ethical AI implications. Analytical rigour: Proficiency in SQL; familiarity with Python/R is a bonus for Data Science tracks. Adaptability: Thrives in high-growth, ambiguous environments while prioritising safety protocols. Why Join Us? If you are driven, innovative, and ready to lead in the exciting realm of GenAI, we want to hear from you! This is your chance to make a real impact in a rapidly evolving industry. Apply Now! Ready to embark on this journey with us? Click the link below to apply and become a key player in shaping the future of customer support! Let's set new benchmarks in safety and experience together! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

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.

ML Ops Lead (Engineer) required for a 6-month contract with a global financial services firm in London. Join a high-impact team building out scalable AI/ML solutions on an Azure and Databricks platform supporting varies areas of the organisation. Implement solid structure for Gen AI deployment and implement best practices within the team, leading on ML Ops frameworks & CI/CD pipeline design Build & scale AI/ML tooling across quants, risk, and trading desks Drive adoption of GenAI & LLMs with Azure OpenAI, Unity Catalog & more Partner with quant teams and central AI functions Required: 2+ years ML Ops experience + 3+ years AI/ML engineering Excellent knowledge of ML frameworks and associated libraries in Python. Expertise in Azure Databricks, Python, Azure DevOps, ML life cycle Financial data/trading/derivatives domain experience is a plus 2 stage interview process Location: Hybrid Central London office & remote (flexible) 6 months duration (possible extension)

AI Engineer - LLM, Python, RAG, Data Analyst - SQL, Tableau, R, Python, Gen AI, Machine Learning. This is 12 month fixed term contract, hybrid working, office location Weybridge, Surrey. The Role: Build and refine LLM/SLM-based AI solutions, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for AI-powered systems across cloud and on-premise environments. Develop ML models and integrate them into production systems, ensuring scalability and performance. Collaborate with cross-functional teams to define AI strategy, roadmap, and adoption plan. Prototype, test, and optimise AI applications, ensuring continuous performance improvement. Essential Skills: 5 + years commercial experience in GenAI, NLP, and Machine Learning. Proven experience in creating, training, and fine-tuning LLMs/SLMs. 5+ years hands-on skills Python development skills. Integrating with SQL/NoSQL databases. Experience with API development, web scraping/crawling, and data integration. Practical exposure to on premise AI model deployment and open-source AI frameworks (eg, Hugging Face, LangChain). Ability to assess AI tools and recommend optimisation for performance improvements. Strong consulting and communication skills able to translate technical concepts into business value. Bachelor's or Master's degree or equivalent in Computer Science, Machine Learning, Engineering, or related field. Full right to work in the UK required. If your profile matches the above and you'd like to find out more, please apply with your up to date CV.

Microsoft Power Platform / Agentic AI Engineer Location : Liverpool Street, London (2-3 days on-site required) Contract Length : 6 months Daily Rate: 650 inside umbrella Why Join Us? At our client's organisation, you will be at the forefront of technology, driving innovation in the Capital Markets and Corporate Banking sectors. This is your chance to work with cutting-edge tools and technologies, while collaborating with a team that values creativity and forward-thinking solutions. Role Overview As a Microsoft Power Platform & Agentic AI Engineer, you will spearhead the development of intelligent, enterprise-grade AI solutions using Microsoft's low-code ecosystem. Your main focus will be on creating Copilot Studio agents, Power Automate workflows, and Power Apps that integrate seamlessly with enterprise systems. Key Responsibilities Power Platform & Copilot Studio Development Design and build conversational agents using Microsoft Copilot Studio. Develop Power Automate flows triggered by AI agents or business events. Create engaging Power Apps frontends integrated with GenAI services and enterprise data. Build and manage custom connectors to internal APIs and third-party services. Agentic Workflow Orchestration Architect multi-step agent workflows using: - Semantic Kernel SDK (C# or Python) - Azure OpenAI (GPT-4, function calling, chat completion) - Planner and Kernel Memory APIs for reasoning and memory - RAG pipelines grounded in enterprise data via Azure AI Search Microsoft 365 & Graph API Integration Enable agents to access and reason over content in SharePoint, OneDrive, Teams, Outlook, and Planner. utilise Microsoft Graph API to retrieve and manipulate enterprise data efficiently. Enterprise Data & AI Services Integration Integrate with Azure AI Search, Azure Form Recognizer, and Azure Language Services for enhanced document understanding and summarization. Cloud Engineering & Security Deploy solutions using Azure Kubernetes Service (AKS) or Azure Container Apps. Ensure robust security with Azure Key Vault, Microsoft Entra ID, and best practises in identity and access control. What We're Looking For Technical Skills & Technologies: Strong experience with Power Platform, including Copilot Studio, Power Automate, Power Apps, and custom connectors. Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel. Solid programming skills in Python and/or C#. Familiarity with LangChain, AutoGen, or similar orchestration frameworks. Experience with Azure AI Search, Form Recognizer, and Language Services. Knowledge of CI/CD, DevSecOps practises, and responsible AI frameworks. We are searching for someone with a proven track record of delivering agent-based or GenAI solutions in enterprise or regulated environments. Your enthusiasm and problem-solving mindset will be key to thriving in this role! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Cloud DevOps Support Engineer Salary: £45-55k Hybrid- Cardiff/Bristol Join an industry-leading MSP and cloud consulting business at an exciting phase of growth. This is a fantastic opportunity to work with some of the top AWS and Azure partner talent in the sector, contributing to the management and evolution of high-scale operational environments. As a Cloud DevOps Support Engineer, this position is predominantly operational (80%), with opportunities for rotation into project delivery and solution development to further enhance technical skills and cloud expertise. You'll play a critical part in optimising and supporting our customers' AWS and Azure environments, leveraging your Infrastructure-as-Code (IaC) proficiency, automation skills, and passion for cloud technology. This role suits a coder by nature who enjoys troubleshooting complex technical problems in cloud-native and hybrid settings, ensuring the highest standards of reliability, efficiency, and innovation. The successful candidate will be directly involved in managing our customer cloud platforms for a diverse enterprise client base, acting both as a trusted technical expert and a collaborative team player. You'll work side-by-side within a cross functional squad supporting both day-to-day operational excellence and next-gen cloud adoption initiatives. AWS associate level certification is essential, with a commitment to achieve professional certification needed; AI/ML experience is advantageous but not mandatory. Key technologies you will need to support include Windows, networking, with a blend of cloud native- PaaS expertise across security, serverless and AI/ML. Now is a great time to join and contribute to our operational maturity journey, benefit from best-in-class mentoring, and accelerate your career as we scale to meet ambitious growth targets. What you'll be doing: Operational Cloud Support Providing technical support and troubleshooting of AWS and Azure environments for enterprise customers, including incident management, monitoring, backup, and disaster recovery. Implement and maintain robust monitoring, alerting, and reporting frameworks to ensure SLA adherence and proactive issue detection. Support upgrades, patches, and problem resolution across cloud platforms with an automation-first mindset. Supporting cost optimisation (FinOps) and security posture improvement across client deployments. Automation, IaC, and CI/CD Build, optimise, and manage Infrastructure-as-Code (IaC) templates and automation scripts-primarily using Terraform, CloudFormation, ARM/Azure Bicep, and related tools. Develop, maintain, and enhance CI/CD pipelines and GitOps workflows to accelerate cloud deployments and streamline operational changes. Participate in release management, change configuration, and cloud resource life cycle operations. Project Delivery & Skill Development Rotate into project-based delivery assignments to participate in cloud migration, modernisation, and optimisation engagements, building hands-on expertise and expanding knowledge of new services (including AI/ML/GenAI when relevant). Contribute to knowledge sharing and continually develop skillsets by collaborating with cloud architects, engineers, and product specialists. Collaboration & Continuous Improvement Work closely with service desk, SREs, developers, and security teams to resolve incidents, enhance reliability, and adopt best operational practices. Document technical solutions, create playbooks, and recommend process improvements to drive efficiency and standardisation. Promote a culture of automation, continuous learning, and operational excellence within the cloud team. What you need to succeed: Solid, hands-on experience supporting, configuring, and troubleshooting AWS and/or Azure environments in large-scale or MSP settings. Diligent and client-focussed mentality ensuring customer outcomes are maintained. Expertise in moving Windows Server workloads to AWS Workspaces or Azure AVD/Workspaces is advantageous. Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, or equivalent), with a strong automation and Scripting background (Python, PowerShell, or Bash). Direct experience with cloud platform operations, monitoring, and incident response, including root cause analysis and problem management. Demonstrated ability to manage CI/CD tools, source control (Git), and modern DevOps workflows. Enthusiasm for collaborating with diverse technical teams and mentoring less-experienced team members. Strong communication skills, both written and verbal, for engaging with technical peers, customers, and non-technical stakeholders. AWS Associate certification required; willingness to achieve AWS Professional (DevOps or Solutions Architect). Azure certification or experience highly valued. Experience or demonstrated interest in supporting AI/ML/GenAI operations is a plus but not essential. At Lucid, we celebrate difference and value diverse perspectives, underpinned by our values of Honesty, Integrity, and Pragmatism. We welcome applications from all suitably qualified or experienced candidates, regardless of personal characteristics. If you have a disability or health condition and seek support throughout the recruitment process, please do not hesitate to contact us.

Full Stack AI Developer London Hybrid 6 month contract Inside IR35 via Umbrella Our Pharmacuetical client are looking for a skilled and motivated Developer to help shape the future of generative AI applications, with a strong focus on safety, usability, and technical excellence. This role blends cutting-edge AI/ML development with user research and full-stack integration, offering a unique opportunity to work at the intersection of innovation and impact. Key Responsibilities Define and implement safety metrics for generative AI systems, particularly language-based models. Conduct user research to identify risks, failure modes, and areas for improvement in AI applications. Integrate AI/ML components with Front End, Back End, data pipelines, and compute infrastructure. Develop high-quality software following best practices, including active participation in code reviews. Collaborate with engineers and data teams across functions to build robust, end-to-end data pipelines. Generate insights from GenAI datasets using machine learning and data analysis techniques. Qualifications Experience conducting user research in software development contexts. Solid understanding of generative AI and large language models. Proficiency in Python, including testing and development workflows. Familiarity with agile methodologies and working in agile development environments. Strong grasp of modern software development tools and practices (eg, Git/GitHub). Experience deploying AI/ML-powered applications, especially those involving NLP, language models, or agent-based frameworks (eg, LangGraph, PydanticAI, AutoGen). Background in user research specific to AI applications. Knowledge of AI/ML evaluation techniques, including safety and robustness assessments. Experience in web-based Front End development. If this role is of interest to you - please apply now with an up to date CV! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

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

AI Applications Engineer Remote (Quarterly onsite) Full-time Permanent £50,000 - £60,000 + Benefits This is an opportunity to join a scaling AI consultancy firm looking to enhance their capabilities further across Data Science, GenAI and Machine Learning. You ll be focused on the vision, design, and deployment of high-impact AI solutions, while also working across a range of real-world use cases and getting hands-on with the integration into production environments. Role Overview You will work closely with cross-functional teams to deliver end-to-end AI solutions, from technical design and development to deployment and optimisation. Your work will involve integrating advanced AI models (including GenAI and reasoning-based models) into user-facing applications using modern full-stack technologies. Key Responsibilities Develop and deploy AI-powered features into production systems. Build and optimise automation pipelines for scalable delivery. Implement RAG (Retrieval-Augmented Generation) and reasoning models into customer-facing applications. Collaborate with data scientists and engineers to translate technical concepts into real-world tools. Build full-stack applications using the MERN stack and integrate Python-based AI services via APIs. Maintain clean, scalable, and testable code with attention to performance and reliability. Engage directly with clients to understand requirements, present technical solutions and support project delivery. Core Skills & Experience JavaScript/TypeScript, with experience in MERN Stack (MongoDB, Express.js, React.js, Node.js or similar ) Strong proficiency in Python, particularly for AI and ML applications. Hands-on experience with PyTorch, GenAI, and reasoning models. Experience implementing RAG architectures in production environments. Solid understanding of both SQL and NoSQL databases Experience building and consuming APIs; familiarity with CI/CD practices. Nice to Have Exposure to cloud platforms (AWS, GCP, Azure) Knowledge of automation tools (UIPath, Power Automate or similar ) Familiarity with automation pipelines and business workflows. If you're passionate about applying AI in real-world settings, enjoy the pace of a scale up environment and enjoy working across the stack to bring intelligent products to life, this could be an interesting role for you to explore.