Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance Analytics Managing Consultant - Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard's rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact • Lead client engagements across a range of industries and problem statements • Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value • Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture • Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members' roles and skills • Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels • Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital • Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications • Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. • Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. • Experience coaching, leading, and managing technical teams across multiple projects • Experience managing key client relationships • Knowledge of business KPIs, financials and organizational leadership • Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities • Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations • Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) • Experience building, managing, and maintaining database structures to support analysis • Advanced Word, Excel, and PowerPoint skills • Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment • Ability to communicate effectively in English and the local office language (if applicable) • Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications • Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark • Experience generating new knowledge or creating innovative solutions for a firm • Relevant industry expertise • Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models • Master's degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance Analytics Managing Consultant - Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard's rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact • Lead client engagements across a range of industries and problem statements • Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value • Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture • Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members' roles and skills • Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels • Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital • Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications • Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. • Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. • Experience coaching, leading, and managing technical teams across multiple projects • Experience managing key client relationships • Knowledge of business KPIs, financials and organizational leadership • Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities • Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations • Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) • Experience building, managing, and maintaining database structures to support analysis • Advanced Word, Excel, and PowerPoint skills • Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment • Ability to communicate effectively in English and the local office language (if applicable) • Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications • Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark • Experience generating new knowledge or creating innovative solutions for a firm • Relevant industry expertise • Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models • Master's degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance AnalyticsManaging Consultant Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercards rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. Experience coaching, leading, and managing technical teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) Experience building, managing, and maintaining database structures to support analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models Masters degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
07/12/2025
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance AnalyticsManaging Consultant Performance Analytics Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercards rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants All About You Basic qualifications Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. Experience coaching, leading, and managing technical teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) Experience building, managing, and maintaining database structures to support analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models Masters degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercards security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. JBRP1_UKTJ
AI Product Manager - Start Up Experience Location: Hybrid working - Blackfriars 3 days per week Contract: 6 months, Outside IR35 Rate: £600 - £650 Are you passionate about building the future of AI quality? Do you thrive in hands-on roles where you can shape frameworks from the ground up and make a real impact? We're looking for an experienced Business Test Analyst experienced in evaluations AI Products to join our team on a contract basis and lay the foundations for robust, reliable, and user-focused AI services across our business. What You'll Do Design and implement a comprehensive AI testing and evaluation framework for all AI solutions, including LLM-based tools, RAG systems, and third-party platforms. Define and document quality standards for semantic accuracy, factual consistency, bias, tone, and relevance. Develop reusable testing templates, data sets, and evaluation methods that can be scaled and maintained by internal teams. Run hands-on testing of AI prototypes and production tools to assess technical performance and business value. Collaborate with business users to guide practical testing and feedback processes. Deliver training and upskilling materials to empower internal staff to sustain the framework after your contract ends. Support vendor evaluations and POC assessments with robust test protocols. Establish baseline metrics and dashboards to measure ongoing AI quality and relevance. Work closely with engineering and product leads to embed testing into delivery workflows. Champion responsible AI practices to ensure fairness, transparency, and user trust. What You'll Bring Strong hands-on experience in testing and evaluation of AI or software systems, ideally with NLP or LLM-based applications. Understanding of prompt evaluation, semantic search, and LLM behaviour (accuracy, hallucination, bias, tone, etc.). Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing QA approaches for GenAI environments. Knowledge of modern AI architectures (RAG pipelines, embeddings, API integrations such as OpenAI, Azure OpenAI, Anthropic). Experience designing and implementing structured test regimes in fast-evolving contexts. Excellent communication and facilitation skills, engaging both technical and business audiences. Proven ability to create sustainable frameworks, documentation, and training materials. Who You Are A builder who loves creating practical, scalable solutions. Hands-on and analytical , balancing experimentation with process. Collaborative and empathetic , bridging technical and non-technical teams. User-focused , driven by delivering real value. Committed to responsible AI , fairness, and transparency. Ready to shape the future of AI quality with us? Apply now and help us ensure our AI-enabled services are accurate, consistent, and trusted by all. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
05/12/2025
Contractor
AI Product Manager - Start Up Experience Location: Hybrid working - Blackfriars 3 days per week Contract: 6 months, Outside IR35 Rate: £600 - £650 Are you passionate about building the future of AI quality? Do you thrive in hands-on roles where you can shape frameworks from the ground up and make a real impact? We're looking for an experienced Business Test Analyst experienced in evaluations AI Products to join our team on a contract basis and lay the foundations for robust, reliable, and user-focused AI services across our business. What You'll Do Design and implement a comprehensive AI testing and evaluation framework for all AI solutions, including LLM-based tools, RAG systems, and third-party platforms. Define and document quality standards for semantic accuracy, factual consistency, bias, tone, and relevance. Develop reusable testing templates, data sets, and evaluation methods that can be scaled and maintained by internal teams. Run hands-on testing of AI prototypes and production tools to assess technical performance and business value. Collaborate with business users to guide practical testing and feedback processes. Deliver training and upskilling materials to empower internal staff to sustain the framework after your contract ends. Support vendor evaluations and POC assessments with robust test protocols. Establish baseline metrics and dashboards to measure ongoing AI quality and relevance. Work closely with engineering and product leads to embed testing into delivery workflows. Champion responsible AI practices to ensure fairness, transparency, and user trust. What You'll Bring Strong hands-on experience in testing and evaluation of AI or software systems, ideally with NLP or LLM-based applications. Understanding of prompt evaluation, semantic search, and LLM behaviour (accuracy, hallucination, bias, tone, etc.). Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing QA approaches for GenAI environments. Knowledge of modern AI architectures (RAG pipelines, embeddings, API integrations such as OpenAI, Azure OpenAI, Anthropic). Experience designing and implementing structured test regimes in fast-evolving contexts. Excellent communication and facilitation skills, engaging both technical and business audiences. Proven ability to create sustainable frameworks, documentation, and training materials. Who You Are A builder who loves creating practical, scalable solutions. Hands-on and analytical , balancing experimentation with process. Collaborative and empathetic , bridging technical and non-technical teams. User-focused , driven by delivering real value. Committed to responsible AI , fairness, and transparency. Ready to shape the future of AI quality with us? Apply now and help us ensure our AI-enabled services are accurate, consistent, and trusted by all. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Stevenage 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.
05/12/2025
Full time
Stevenage 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.
Machine Learning Engineer (LLM / AI Systems) London / Hybrid 0-3 Years Experience Competitive Salary Are you obsessed with AI and large language models? We're an early-stage startup building real-world products powered by LLMs - from intelligent copilots to adaptive automation tools - and we're looking for curious minds to help us shape the future of AI. What You'll Be Doing Research, train, and fine-tune large language models (LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research - we give you time and resources to explore, learn, and publish. What We're Looking For 0-3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch / TensorFlow / Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives in a fast-moving startup environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You'll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working - remote-first culture with in-person team sessions for collaboration. Career acceleration - opportunities to own projects, lead development, and shape the product roadmap. An environment that values learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications, AI Innovation, AI Product Development, AI Tools, Research Engineer, ML Developer, Data Engineer, Graduate AI Engineer, Entry Level AI Engineer, Junior ML Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems.
05/12/2025
Full time
Machine Learning Engineer (LLM / AI Systems) London / Hybrid 0-3 Years Experience Competitive Salary Are you obsessed with AI and large language models? We're an early-stage startup building real-world products powered by LLMs - from intelligent copilots to adaptive automation tools - and we're looking for curious minds to help us shape the future of AI. What You'll Be Doing Research, train, and fine-tune large language models (LLMs) for real-world applications. Develop and optimise pipelines for data collection, preprocessing, and model evaluation. Collaborate with product engineers to deploy models into scalable production systems. Experiment with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research - we give you time and resources to explore, learn, and publish. What We're Looking For 0-3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch / TensorFlow / Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives in a fast-moving startup environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You'll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working - remote-first culture with in-person team sessions for collaboration. Career acceleration - opportunities to own projects, lead development, and shape the product roadmap. An environment that values learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications, AI Innovation, AI Product Development, AI Tools, Research Engineer, ML Developer, Data Engineer, Graduate AI Engineer, Entry Level AI Engineer, Junior ML Engineer, AI Internship, AI Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems.
GenAI Full Stack Engineer - Consultant / Senior Consultant Salary: 45,000 - 70,000 pa + 4,000 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. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV to
05/12/2025
Full time
GenAI Full Stack Engineer - Consultant / Senior Consultant Salary: 45,000 - 70,000 pa + 4,000 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. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV to
Bentley Whitaker Search & Selection
Newcastle Upon Tyne, Tyne And Wear
Python / GenAI Engineer - LangChain, LangGraph, LLM, Langsmith, Langfuse My client (well known consultancy) brings together strategy, design, data science, and engineering to deliver transformative solutions. If you're passionate about GenAI, development, and shaping the digital future, this role is for you. This fantastic company offers excellent training to all their consultants, both online and classroom training. Candidates can live anywhere in the UK (remote) and will be based from home, however occasional client visits will be necessary for meetings, but these will be fully funded. As a GenAI/Python Engineer , you'll help design, build, and scale AI-powered applications using tools like RAG, intelligent agents, and LLMs. This hands-on, client-facing role blends technical depth with consulting impact. You will: Develop and scale GenAI solutions from POCs to production. Lead development across GenAI and traditional projects. Support DevOps, infrastructure, and cloud integration. Explore emerging GenAI frameworks. Mentor and guide junior team members. Profile for the Python/GenAI Developer roles You're an adaptable, hands-on engineer with experience and a passion for GenAI. Must Have: Strong Engineering skills in Python - 2yrs commercial minimum Any front-End experience is advantageous Experience with GenAI tools (LangChain, LangGraph, etc.) and LLMs (OpenAI, Anthropic, Llama, etc.) Familiarity with monitoring (Langsmith, Langfuse), Git, and vector/NoSQL/SQL databases Eligible for SC Clearance - lived in the UK for 5yrs+ Salary for the Python/GenAI Developer roles on offer is up to £55,000 dependent on experience + an excellent benefits package including extensive training and proper career development plans.
05/12/2025
Full time
Python / GenAI Engineer - LangChain, LangGraph, LLM, Langsmith, Langfuse My client (well known consultancy) brings together strategy, design, data science, and engineering to deliver transformative solutions. If you're passionate about GenAI, development, and shaping the digital future, this role is for you. This fantastic company offers excellent training to all their consultants, both online and classroom training. Candidates can live anywhere in the UK (remote) and will be based from home, however occasional client visits will be necessary for meetings, but these will be fully funded. As a GenAI/Python Engineer , you'll help design, build, and scale AI-powered applications using tools like RAG, intelligent agents, and LLMs. This hands-on, client-facing role blends technical depth with consulting impact. You will: Develop and scale GenAI solutions from POCs to production. Lead development across GenAI and traditional projects. Support DevOps, infrastructure, and cloud integration. Explore emerging GenAI frameworks. Mentor and guide junior team members. Profile for the Python/GenAI Developer roles You're an adaptable, hands-on engineer with experience and a passion for GenAI. Must Have: Strong Engineering skills in Python - 2yrs commercial minimum Any front-End experience is advantageous Experience with GenAI tools (LangChain, LangGraph, etc.) and LLMs (OpenAI, Anthropic, Llama, etc.) Familiarity with monitoring (Langsmith, Langfuse), Git, and vector/NoSQL/SQL databases Eligible for SC Clearance - lived in the UK for 5yrs+ Salary for the Python/GenAI Developer roles on offer is up to £55,000 dependent on experience + an excellent benefits package including extensive training and proper career development plans.
AI Automation Engineer | Hybrid 3 days a week in office | London | Permanent A leading financial services client in London is seeking a talented AI Automation Engineer to join their team. Please see below for key details. Role Overview: Analyse and optimise business processes for automation whilst designing, building, and deploying intelligent automation solutions using BPA platforms (Appian), Machine Learning, and Generative AI to drive operational efficiency and innovation. Key Characteristics: Process Analysis & Optimisation - Expert in analysing existing business processes through stakeholder interviews, process mapping, and workflow documentation to identify automation opportunities. Skilled in creating process flow diagrams, conducting time-motion studies, identifying bottlenecks and inefficiencies, and redesigning processes to be machine-readable and automation-ready using methodologies. Python Development - Strong proficiency in Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process modelling, interface design, expression rules, integration objects, and data modelling. Skilled in building end-to-end business process applications, configuring workflows, implementing business rules, managing records, and integrating Appian with external systems via REST APIs, web services, and connected systems. API Development & Integration - Proficient in designing and building RESTful APIs using FastAPI, Flask, or Django REST Framework for exposing AI models and automation services. Experience with API authentication (OAuth, JWT), rate limiting, error handling, API documentation (Swagger/OpenAPI), webhooks, and integrating disparate systems to create seamless automated workflows. Document Processing & OCR - Experience implementing intelligent document processing solutions using OCR technologies (Tesseract, Azure AI Document Intelligence, natural language processing for information extraction, document classification, and building end-to-end pipelines for automated document ingestion, processing, and data extraction with validation rules. Robotic Process Automation (RPA) - Knowledge of RPA concepts and tools (UiPath, Automation Anywhere, Power Automate) for automating repetitive tasks, screen scraping, and Legacy system integration. Ability to assess when RPA vs. API integration vs. AI solutions are most appropriate, and experience building hybrid automation solutions combining multiple technologies. Data Engineering & Pipeline Development - Strong skills in building data pipelines for AI/automation solutions including data extraction, transformation, and loading (ETL). Experience with SQL databases (SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing CI/CD pipelines for automated model training and deployment. Understanding of model governance, explainability, and compliance requirements. Solution Architecture & Technical Design - Ability to design end-to-end automation architectures that combine multiple technologies (BPA, ML, GenAI, APIs) into cohesive solutions. Experience creating technical design documents, system architecture diagrams, assessing build vs. buy decisions, estimating effort and complexity, and presenting technical recommendations to both technical and non-technical stakeholders. Stakeholder Collaboration & Change Management - Excellent communication skills for gathering requirements from business users, translating business needs into technical specifications, and demonstrating proof-of-concepts. Experience managing stakeholder expectations, conducting user acceptance testing, providing training on automated solutions, measuring automation ROI through KPIs (time saved, error reduction, cost savings), and driving adoption of intelligent automation across the organisation. If you align to the key requirements then please apply with an updated CV.
05/12/2025
Full time
AI Automation Engineer | Hybrid 3 days a week in office | London | Permanent A leading financial services client in London is seeking a talented AI Automation Engineer to join their team. Please see below for key details. Role Overview: Analyse and optimise business processes for automation whilst designing, building, and deploying intelligent automation solutions using BPA platforms (Appian), Machine Learning, and Generative AI to drive operational efficiency and innovation. Key Characteristics: Process Analysis & Optimisation - Expert in analysing existing business processes through stakeholder interviews, process mapping, and workflow documentation to identify automation opportunities. Skilled in creating process flow diagrams, conducting time-motion studies, identifying bottlenecks and inefficiencies, and redesigning processes to be machine-readable and automation-ready using methodologies. Python Development - Strong proficiency in Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process modelling, interface design, expression rules, integration objects, and data modelling. Skilled in building end-to-end business process applications, configuring workflows, implementing business rules, managing records, and integrating Appian with external systems via REST APIs, web services, and connected systems. API Development & Integration - Proficient in designing and building RESTful APIs using FastAPI, Flask, or Django REST Framework for exposing AI models and automation services. Experience with API authentication (OAuth, JWT), rate limiting, error handling, API documentation (Swagger/OpenAPI), webhooks, and integrating disparate systems to create seamless automated workflows. Document Processing & OCR - Experience implementing intelligent document processing solutions using OCR technologies (Tesseract, Azure AI Document Intelligence, natural language processing for information extraction, document classification, and building end-to-end pipelines for automated document ingestion, processing, and data extraction with validation rules. Robotic Process Automation (RPA) - Knowledge of RPA concepts and tools (UiPath, Automation Anywhere, Power Automate) for automating repetitive tasks, screen scraping, and Legacy system integration. Ability to assess when RPA vs. API integration vs. AI solutions are most appropriate, and experience building hybrid automation solutions combining multiple technologies. Data Engineering & Pipeline Development - Strong skills in building data pipelines for AI/automation solutions including data extraction, transformation, and loading (ETL). Experience with SQL databases (SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing CI/CD pipelines for automated model training and deployment. Understanding of model governance, explainability, and compliance requirements. Solution Architecture & Technical Design - Ability to design end-to-end automation architectures that combine multiple technologies (BPA, ML, GenAI, APIs) into cohesive solutions. Experience creating technical design documents, system architecture diagrams, assessing build vs. buy decisions, estimating effort and complexity, and presenting technical recommendations to both technical and non-technical stakeholders. Stakeholder Collaboration & Change Management - Excellent communication skills for gathering requirements from business users, translating business needs into technical specifications, and demonstrating proof-of-concepts. Experience managing stakeholder expectations, conducting user acceptance testing, providing training on automated solutions, measuring automation ROI through KPIs (time saved, error reduction, cost savings), and driving adoption of intelligent automation across the organisation. If you align to the key requirements then please apply with an updated CV.
GenAI Full Stack Engineer - Managing Consultant Salary: £80,000 - £88,500 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 (eg, 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. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV to
04/12/2025
Full time
GenAI Full Stack Engineer - Managing Consultant Salary: £80,000 - £88,500 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 (eg, 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. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV to
AI Strategist, Financial Services Inside IR35, £700-£800 per day 6-month contract for 3 days a week, 1 day in London. My client is a leading Financial Services business looking to hire an AI Strategist or AI consultant, on a 3 day a week assignment to drive a future roadmap for the businesses AI Strategy. The role will work with key executive stakeholders to challenge their current strategic approach, set out a future roadmap for AI that's feasible and supplying external, validated, knowledge into the Senior Leadership Team. Key Responsibilities: Help drive a business-led enterprise AI strategy Advise senior leaders on value-driven AI adoption and strategic direction. Align business functions (Marketing, Sales, Customer Service, etc.) to outcome-focused AI roadmaps. Assess and guide existing AI consulting and agent-development teams. Provide expert insight on GenAI platforms (Gemini, Copilot) and AI limitations. Ensure AI strategy is realistic, value-focused, and aligned to enterprise goals. Key Skills Proven experience developing enterprise-level AI strategies across large or complex organisations. Ideally background in Financial Services or another highly regulated industry (Banking, Insurance, Payments, FS consulting). Strong C-suite and Senior Leadership stakeholder management, with the ability to challenge thinking and influence direction. Hands-on understanding of GenAI platforms (e.g., Gemini, Microsoft Copilot, OpenAI, Anthropic) and their practical constraints. Experience building AI roadmaps that align business functions (Marketing, Sales, Customer Service, Operations, Digital, Risk). Knowledge of AI governance, risk, compliance, and responsible AI frameworks relevant to FS environments. Exposure to AI delivery teams, including MLOps, data engineering, AI consulting, or agent-development teams. Ability to translate complex technical capability into clear commercial value propositions. Comfortable assessing AI maturity, operating models, and organisational readiness. Strong analytical and strategic thinking, with a track record of shaping direction at executive level. Excellent communication, facilitation, and presentation skills.
02/12/2025
Contractor
AI Strategist, Financial Services Inside IR35, £700-£800 per day 6-month contract for 3 days a week, 1 day in London. My client is a leading Financial Services business looking to hire an AI Strategist or AI consultant, on a 3 day a week assignment to drive a future roadmap for the businesses AI Strategy. The role will work with key executive stakeholders to challenge their current strategic approach, set out a future roadmap for AI that's feasible and supplying external, validated, knowledge into the Senior Leadership Team. Key Responsibilities: Help drive a business-led enterprise AI strategy Advise senior leaders on value-driven AI adoption and strategic direction. Align business functions (Marketing, Sales, Customer Service, etc.) to outcome-focused AI roadmaps. Assess and guide existing AI consulting and agent-development teams. Provide expert insight on GenAI platforms (Gemini, Copilot) and AI limitations. Ensure AI strategy is realistic, value-focused, and aligned to enterprise goals. Key Skills Proven experience developing enterprise-level AI strategies across large or complex organisations. Ideally background in Financial Services or another highly regulated industry (Banking, Insurance, Payments, FS consulting). Strong C-suite and Senior Leadership stakeholder management, with the ability to challenge thinking and influence direction. Hands-on understanding of GenAI platforms (e.g., Gemini, Microsoft Copilot, OpenAI, Anthropic) and their practical constraints. Experience building AI roadmaps that align business functions (Marketing, Sales, Customer Service, Operations, Digital, Risk). Knowledge of AI governance, risk, compliance, and responsible AI frameworks relevant to FS environments. Exposure to AI delivery teams, including MLOps, data engineering, AI consulting, or agent-development teams. Ability to translate complex technical capability into clear commercial value propositions. Comfortable assessing AI maturity, operating models, and organisational readiness. Strong analytical and strategic thinking, with a track record of shaping direction at executive level. Excellent communication, facilitation, and presentation skills.
Locations : London Gurgaon 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 BCG is transforming the way our people experience technology through the power of Generative AI. Ava, our IT Support GenAI chatbot, is live and serving over 40,000 BCG users globally, helping employees get IT help faster, smarter, and more intuitively than ever before. As the Global IT Software Engineer Director - GenAI, you will play a hands-on role in building upon Ava's success. You will design, develop, and deliver high-impact GenAI solutions that expand Ava's capabilities and reach. You will serve as the technical counterpart to the Product Owner, accountable for delivery speed, quality, and ensuring alignment between the technical roadmap and product vision. You'll work across teams to scale Ava's impact and apply emerging GenAI technologies to improve IT service experiences for BCG's global workforce. YOU'RE GOOD AT Taking ownership and driving complex technical solutions from design through delivery. Being hands-on with modern cloud and AI technologies, while maintaining focus on delivery quality and scalability. Collaborating effectively with product managers, engineers, and architecture teams to translate business goals into practical solutions. Balancing speed, quality, and technical depth, ensuring solutions are secure, maintainable, and aligned to roadmap priorities. Staying curious and adaptive, quickly learning new technologies and applying them to enterprise-scale challenges. What You'll Bring Full-stack engineering expertise with experience in cloud-native application development (AWS preferred). Hands-on experience in building and deploying Generative AI or LLM-based systems at scale. Proficiency in at least two programming languages such as Java, .NET, TypeScript, or Python, along with experience in modern frontend frameworks like React.js or Stencil. Deep understanding of authorization and authentication standards (OAuth) and secure-by-design development practices. Strong awareness of OWASP Top 10 and a proactive approach to identifying and mitigating security vulnerabilities during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent communication and collaboration skills to partner across engineering, product, and governance teams. Bachelor's degree in computer science, engineering, or related field (or equivalent experience) Who You'll Work With You will be part of the IT & Business Platforms (ITBP) team, partnering closely with the Genie team (BCG's internal GenAI platform built on AWS), as well as the AI Center of Excellence (AI CoE), Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that transform how BCG's global employees engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
01/12/2025
Full time
Locations : London Gurgaon 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 BCG is transforming the way our people experience technology through the power of Generative AI. Ava, our IT Support GenAI chatbot, is live and serving over 40,000 BCG users globally, helping employees get IT help faster, smarter, and more intuitively than ever before. As the Global IT Software Engineer Director - GenAI, you will play a hands-on role in building upon Ava's success. You will design, develop, and deliver high-impact GenAI solutions that expand Ava's capabilities and reach. You will serve as the technical counterpart to the Product Owner, accountable for delivery speed, quality, and ensuring alignment between the technical roadmap and product vision. You'll work across teams to scale Ava's impact and apply emerging GenAI technologies to improve IT service experiences for BCG's global workforce. YOU'RE GOOD AT Taking ownership and driving complex technical solutions from design through delivery. Being hands-on with modern cloud and AI technologies, while maintaining focus on delivery quality and scalability. Collaborating effectively with product managers, engineers, and architecture teams to translate business goals into practical solutions. Balancing speed, quality, and technical depth, ensuring solutions are secure, maintainable, and aligned to roadmap priorities. Staying curious and adaptive, quickly learning new technologies and applying them to enterprise-scale challenges. What You'll Bring Full-stack engineering expertise with experience in cloud-native application development (AWS preferred). Hands-on experience in building and deploying Generative AI or LLM-based systems at scale. Proficiency in at least two programming languages such as Java, .NET, TypeScript, or Python, along with experience in modern frontend frameworks like React.js or Stencil. Deep understanding of authorization and authentication standards (OAuth) and secure-by-design development practices. Strong awareness of OWASP Top 10 and a proactive approach to identifying and mitigating security vulnerabilities during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent communication and collaboration skills to partner across engineering, product, and governance teams. Bachelor's degree in computer science, engineering, or related field (or equivalent experience) Who You'll Work With You will be part of the IT & Business Platforms (ITBP) team, partnering closely with the Genie team (BCG's internal GenAI platform built on AWS), as well as the AI Center of Excellence (AI CoE), Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that transform how BCG's global employees engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Python Azure AI Engineer 6 Months Telford 2 days a week 519 As an AI Engineer within the programme, you will be part of a multidisciplinary team driving digital transformation for one of the UK's most critical government departments. This role focuses on designing, developing, and deploying AI-driven solutions to modernise legacy systems, enhance operational efficiency, and deliver innovative services aligned with the clients strategic objectives. Key Responsibilities AI Solution Development: Build and integrate AI models and accelerators to automate processes and improve delivery speed across the Actian Exit programme. Generative AI Applications: Apply GenAI techniques for software engineering, data analysis, and automation within secure government environments. Collaboration: Work closely with architects, engineers, and delivery leads to ensure solutions meet the clients governance, accessibility, and security standards. Rapid Prototyping: Support agile delivery by creating proof-of-concepts and prototypes for AI-enabled services Performance Optimisation: Monitor and refine AI models for accuracy, scalability, and compliance. Knowledge Sharing: Mentor engineers and contribute to AI capability building within the clients MU. Essential Skills Strong proficiency in Python, Azure AI Services, and Machine Learning frameworks (e.g., TensorFlow, PyTorch). Experience with Generative AI and LLM-based solutions for enterprise use cases. Familiarity with DevOps pipelines and CI/CD practices using Gitlab or Azure DevOps. Understanding of data governance, security protocols, and public sector compliance. Excellent problem-solving and stakeholder engagement skills, experimental and inquisitive mindset to trial-and-error different AI solutions and approaches. Desirable Skills Knowledge of Power Platform and integration with AI services. Knowledge or development languages including Java and/or VB6 Knowledge of App-V & Windows Server Exposure to cloud-native architectures and microservices. Experience in Agile delivery and rapid prototyping. Experience of eg. command-line Unix/Linux OS / Ubuntu distribution
28/11/2025
Contractor
Python Azure AI Engineer 6 Months Telford 2 days a week 519 As an AI Engineer within the programme, you will be part of a multidisciplinary team driving digital transformation for one of the UK's most critical government departments. This role focuses on designing, developing, and deploying AI-driven solutions to modernise legacy systems, enhance operational efficiency, and deliver innovative services aligned with the clients strategic objectives. Key Responsibilities AI Solution Development: Build and integrate AI models and accelerators to automate processes and improve delivery speed across the Actian Exit programme. Generative AI Applications: Apply GenAI techniques for software engineering, data analysis, and automation within secure government environments. Collaboration: Work closely with architects, engineers, and delivery leads to ensure solutions meet the clients governance, accessibility, and security standards. Rapid Prototyping: Support agile delivery by creating proof-of-concepts and prototypes for AI-enabled services Performance Optimisation: Monitor and refine AI models for accuracy, scalability, and compliance. Knowledge Sharing: Mentor engineers and contribute to AI capability building within the clients MU. Essential Skills Strong proficiency in Python, Azure AI Services, and Machine Learning frameworks (e.g., TensorFlow, PyTorch). Experience with Generative AI and LLM-based solutions for enterprise use cases. Familiarity with DevOps pipelines and CI/CD practices using Gitlab or Azure DevOps. Understanding of data governance, security protocols, and public sector compliance. Excellent problem-solving and stakeholder engagement skills, experimental and inquisitive mindset to trial-and-error different AI solutions and approaches. Desirable Skills Knowledge of Power Platform and integration with AI services. Knowledge or development languages including Java and/or VB6 Knowledge of App-V & Windows Server Exposure to cloud-native architectures and microservices. Experience in Agile delivery and rapid prototyping. Experience of eg. command-line Unix/Linux OS / Ubuntu distribution
Head of AI Salary: 100,000 - 150,000 + bonus Location: London/Hybrid Data Idols are partnering with a major UK brand undergoing a significant enterprise-wide transformation, placing AI at the centre of its long-term business and technology strategy. This is a pivotal, newly created leadership role with the remit to define, influence, and drive the organisation's entire AI agenda. The Opportunity As Head of AI, you will shape the strategic direction for how AI, including generative, agentic, and operational AI, is adopted, governed, and scaled across the organisation. You'll create and lead a high-impact AI function that brings together existing ML, AI Ops, and emerging AI capabilities under a clear, unified strategy. This role is about vision, influence, and enterprise-wide impact. You'll work closely with executive stakeholders to identify where AI can deliver meaningful commercial value, create competitive advantage, and transform customer and operational experiences. You will champion the responsible and strategic adoption of AI, ensuring cutting-edge technologies translate into measurable outcomes. While you'll have a strong technical grounding, this is not a hands-on research or engineering position. Instead, you'll provide strategic leadership, ensuring the right capabilities, standards, and governance structures are in place to successfully deliver AI at scale. Key Responsibilities Set the enterprise AI strategy, aligning AI capabilities with long-term business goals Build, lead, and inspire a new AI organisation, consolidating and uplifting existing teams Drive adoption of generative, agentic, and advanced operational AI across diverse business areas Influence senior stakeholders and guide the organisation on where and how AI can create real commercial leverage Skills and Experience Proven leadership in defining and delivering enterprise AI strategy, including GenAI Strong understanding of AI platforms, MLOps, and modern AI tooling (without needing to be hands-on) Experience translating AI opportunities into commercially impactful use cases at scale Exceptional communication, influence, and stakeholder engagement skills, able to operate confidently at senior levels Demonstrated ability to build new teams and uplift organisational capability If you are motivated by shaping the future of AI within a major organisation and leading an agenda with significant executive visibility and impact, please submit your CV for initial screening. Head of AI
28/11/2025
Full time
Head of AI Salary: 100,000 - 150,000 + bonus Location: London/Hybrid Data Idols are partnering with a major UK brand undergoing a significant enterprise-wide transformation, placing AI at the centre of its long-term business and technology strategy. This is a pivotal, newly created leadership role with the remit to define, influence, and drive the organisation's entire AI agenda. The Opportunity As Head of AI, you will shape the strategic direction for how AI, including generative, agentic, and operational AI, is adopted, governed, and scaled across the organisation. You'll create and lead a high-impact AI function that brings together existing ML, AI Ops, and emerging AI capabilities under a clear, unified strategy. This role is about vision, influence, and enterprise-wide impact. You'll work closely with executive stakeholders to identify where AI can deliver meaningful commercial value, create competitive advantage, and transform customer and operational experiences. You will champion the responsible and strategic adoption of AI, ensuring cutting-edge technologies translate into measurable outcomes. While you'll have a strong technical grounding, this is not a hands-on research or engineering position. Instead, you'll provide strategic leadership, ensuring the right capabilities, standards, and governance structures are in place to successfully deliver AI at scale. Key Responsibilities Set the enterprise AI strategy, aligning AI capabilities with long-term business goals Build, lead, and inspire a new AI organisation, consolidating and uplifting existing teams Drive adoption of generative, agentic, and advanced operational AI across diverse business areas Influence senior stakeholders and guide the organisation on where and how AI can create real commercial leverage Skills and Experience Proven leadership in defining and delivering enterprise AI strategy, including GenAI Strong understanding of AI platforms, MLOps, and modern AI tooling (without needing to be hands-on) Experience translating AI opportunities into commercially impactful use cases at scale Exceptional communication, influence, and stakeholder engagement skills, able to operate confidently at senior levels Demonstrated ability to build new teams and uplift organisational capability If you are motivated by shaping the future of AI within a major organisation and leading an agenda with significant executive visibility and impact, please submit your CV for initial screening. Head of AI
Data Science and AI Engineering Manager Salary: 100,000 - 125,000 + bonus Location: London / Hybrid Data Idols are working with a major UK brand embarking on an exciting transformation to embed AI at the heart of its technology strategy. This is a brand-new role, a chance to build and lead an AI Engineering function from the ground up within an established enterprise. The Opportunity You'll set the strategy and lead delivery for a new AI Engineering area, responsible for developing practical AI solutions, from agentic systems and intelligent agents to automation tools and advanced operational AI. You'll also drive the adoption of Gen AI and generative capabilities across the organisation, ensuring they are translated into real, scalable business impact. This is not a research role; it's about turning AI into real-world value. You'll consolidate existing ML and AI Ops teams under one function, shaping how the organisation delivers, governs, and scales AI, including generative and agentic technologies, end-to-end. Skills and Experience Proven leadership experience in Gen AI delivery Hands-on technical understanding of modern AI tooling, MLOps, and model deployment and generative/agentic AI frameworks Commercial mindset, experience bringing AI, including generative, use cases into production Strong communication skills and the ability to build and scale new teams Passion for AI innovation and keeping up with GenAI industry advances If you are looking for a new challenge, please submit your CV for initial screening and more details. Data Science and AI Engineering Manager
18/11/2025
Full time
Data Science and AI Engineering Manager Salary: 100,000 - 125,000 + bonus Location: London / Hybrid Data Idols are working with a major UK brand embarking on an exciting transformation to embed AI at the heart of its technology strategy. This is a brand-new role, a chance to build and lead an AI Engineering function from the ground up within an established enterprise. The Opportunity You'll set the strategy and lead delivery for a new AI Engineering area, responsible for developing practical AI solutions, from agentic systems and intelligent agents to automation tools and advanced operational AI. You'll also drive the adoption of Gen AI and generative capabilities across the organisation, ensuring they are translated into real, scalable business impact. This is not a research role; it's about turning AI into real-world value. You'll consolidate existing ML and AI Ops teams under one function, shaping how the organisation delivers, governs, and scales AI, including generative and agentic technologies, end-to-end. Skills and Experience Proven leadership experience in Gen AI delivery Hands-on technical understanding of modern AI tooling, MLOps, and model deployment and generative/agentic AI frameworks Commercial mindset, experience bringing AI, including generative, use cases into production Strong communication skills and the ability to build and scale new teams Passion for AI innovation and keeping up with GenAI industry advances If you are looking for a new challenge, please submit your CV for initial screening and more details. Data Science and AI Engineering Manager
AI Developer - Generative AI Specialist - 3 months+ - Hybrid - Rate circa 500- 650 We are looking for an experienced AI Developer to join a team developing cutting edge AI solutions who will either have current and active SC clearance or have the ability to be able to obtain SC clearance. You will provide solutions across both Azure and AWS technologies and importantly have a demonstrable background in C#.Net . This will be a very much collaborative role working with a range of domain experts. Being the AI SME you will provide technical expertise on GenAI capabilities and its limitations to the non-technical people. What you will bring to the team Fine-tune Large Language Models (LLMs) and other generative architectures. Optimise pre-trained models (OpenAI, Anthropic, or open-source LLMs) for business use cases using prompt engineering and reinforcement learning. Experiment with model configurations to balance performance, cost, and scalability. Build robust data pipelines for continuous model improvement and retraining. Ensure compliance with ethical AI and data governance standards (privacy, bias mitigation). Develop APIs, microservices, and integrations to embed GenAI models into enterprise workflows. Work with frontend and backend teams to deliver AI-driven features in production. Required Skills Programming: Python, .NET/C# (Key to have a background in C#) Knowledge of AI principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
18/11/2025
Contractor
AI Developer - Generative AI Specialist - 3 months+ - Hybrid - Rate circa 500- 650 We are looking for an experienced AI Developer to join a team developing cutting edge AI solutions who will either have current and active SC clearance or have the ability to be able to obtain SC clearance. You will provide solutions across both Azure and AWS technologies and importantly have a demonstrable background in C#.Net . This will be a very much collaborative role working with a range of domain experts. Being the AI SME you will provide technical expertise on GenAI capabilities and its limitations to the non-technical people. What you will bring to the team Fine-tune Large Language Models (LLMs) and other generative architectures. Optimise pre-trained models (OpenAI, Anthropic, or open-source LLMs) for business use cases using prompt engineering and reinforcement learning. Experiment with model configurations to balance performance, cost, and scalability. Build robust data pipelines for continuous model improvement and retraining. Ensure compliance with ethical AI and data governance standards (privacy, bias mitigation). Develop APIs, microservices, and integrations to embed GenAI models into enterprise workflows. Work with frontend and backend teams to deliver AI-driven features in production. Required Skills Programming: Python, .NET/C# (Key to have a background in C#) Knowledge of AI principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
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.
06/10/2025
Full time
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)
03/10/2025
Contractor
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.
03/10/2025
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.
03/10/2025
Contractor
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.
02/10/2025
Full time
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.
