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End Date Sunday 29 November 2026 Salary Range £48,500 Job Description Summary Prior to submitting your application, please visit our early careers website to find out more about the schemes we offer and the recruitment journey: . Our graduate schemes may close early if we receive a high number of applications, so it's best to apply as soon as you can. If you have any questions, please do contact the team at Job Description Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance, applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on Thursday 10th September. Apply soon as our programmes may close early if we receive a high number of applications. Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. Should you need help or want to ask a question, please contact us at Learn about the Group and our culture and values on our talent website Home - Lloyds Banking Group Talent or visit our Instagram to keep

End Date Sunday 29 November 2026 Salary Range £48,500 Job Description Summary Prior to submitting your application, please visit our early careers website to find out more about the schemes we offer and the recruitment journey: . Our graduate schemes may close early if we receive a high number of applications, so it's best to apply as soon as you can. If you have any questions, please do contact the team at Job Description Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance, applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on Thursday 10th September. Apply soon as our programmes may close early if we receive a high number of applications. Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. Should you need help or want to ask a question, please contact us at Learn about the Group and our culture and values on our talent website Home - Lloyds Banking Group Talent or visit our Instagram to keep

End Date Sunday 29 November 2026 Salary Range £48,500 Job Description Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientistuncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems, building next generation AI applications using foundation models, retrieval augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance, applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. You'll master Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi week AI power up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing Your personal learning plan could include Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side of the desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close knit community of data professional who speak fluent Python and coffee, naturally Your future Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations LocationsBristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on Thursday 10th September. Apply soon as our programmes may close early if we receive a high number of applications. Company Culture At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.

End Date Sunday 11 October 2026 Salary Range £48,500 Before you start your application, please note alternative formats are available on request. Job Description Summary Prior to submitting your application, please visit our early careers website to find out more about the schemes we offer and the recruitment journey: . Our graduate schemes may close early if we receive a high number of applications, so it's best to apply as soon as you can. Job Description Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated ML workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance, applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, aiding maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Openings and Closing Date Applications for our Data Science & AI Graduate Scheme opens on Thursday 10th September. Apply soon as our programmes may close early if we receive a high number of applications.

Career Opportunities: Graduate AI Software Developer (11348) Requisition ID11348-Posted13/07/2026- Years of Experience (1) -Technology- Where (1) Sprint Reply is the Reply Group company specialised in Intelligent Process Automation.Our mission is to create automation platforms capable of solving concrete business problems, supporting our customers in the transformation towards the Intelligent Enterprise and the adoption of a scalable and efficient Digital Workforce. In Sprint Reply we combine an execution oriented engineering approach with strong experiences on 4 technology families, Robotic Process Automation, Computer Vision & ICR, AI & Machine Learning and Process Mining, dedicating constant attention to R&D on various Artificial Intelligence issues. Role Overview: As a GraduateAI Software Developer, you will help design, build and deploy innovative software solutions that leverage the latest advancements inArtificial Intelligence, Machine Learning, Generative AI, AWS and Microsoft Azure.Working alongside experienced consultants, architects and engineers, you'll contribute to client-facing projects that solve real business challenges through modern software development and cloud-native technologies. You'll gain hands on experience developing applications, integrating AI services, working with large language models (LLMs), and building scalable solutions using leading cloud platforms.At Sprint Reply, you'll benefit from extensive training opportunities including industry certifications, peer-to-peer learning, hackathons, code challenges and innovation labs. We encourage rapid career growth and will provide the support and mentorship needed to develop into a highly skilled AI Engineer and technology specialist.This role is based in Manchester and we are recruiting for an August start date. Responsibilities: Design, develop and maintain software applications using modern development frameworks and tools Support the development of AI powered and Generative AI solutions for client projects Work with cloud technologies includingAWS and Microsoft Azure to build scalable applicationsCollaborate with consultants, solution architects and client stakeholders to translate requirements into technical solutions Develop, test and deploy high-quality code following software engineering best practices Contribute to proof of concepts, innovation projects and AI experimentation initiativesSupport the integration of AI models, APIs and cloud services into enterprise applications Continuously learn and apply emerging technologies in AI, cloud computing and software engineering About the Candidate: A minimumBachelor's degree (2:1 or above) in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Mathematics, Physics, or a related technical discipline Understanding of software engineering principles and development methodologiesInterest in cloud technologies, particularly AWS and Microsoft Azure Excellent problem solving and analytical skillsStrong communication and collaboration skillsFlexible attitude towards working across different projects and industries Previous experience is not required, but personal projects, university coursework, internships, hackathons or open source contributions are highly desirable Eagerness to learn and build a career in AI and software engineering Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential. Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential. Our seasoned professionals deliver services based on Milestone's best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed. Job Overview Milestone Technologies is actively searching for a highly skilled Service Desk L1 Technician to contribute to the effective management of IT operations and application support. As part of our IT team, candidates must be technology enthusiasts with a commitment to delivering exceptional technical and non-technical support, outstanding customer service, and timely solutions. The ideal candidate thrives in a fast-paced, high-pressure environment. Responsibilities Act as the primary contact for all internal IT support requests. Provide hardware, software, and account Service Desk support and technical education to end users on various devices. Troubleshoot Mac, Windows, and Linux software and hardware through service desk walk-ups, chat, video conference, and Jira. Set up mobile phones, MDM, email, VPN, and internet access for users via the secure company network. Triage, assign, resolve, or elevate all incoming tickets. Perform general Network troubleshooting for network connectivity issues, digital authentication, remote access, secure Wi-Fi, and wired connectivity. Procure, provision, and deploy equipment for end users. Work with external vendors for procurement and services. Onboarding administration, including preparing new hire hardware for deployment and educating new hires on software and technology-related procedures. Perform set-ups, break-downs, and transports equipment for new and existing end users. Manage AV equipment, tickets, and drive resolutions through the Jira ticketing system. Examine, design, and implement new internal procedures to improve office procedures. Collaborate with software and hardware vendors to solve technical issues. Deep understanding of root-cause analysis and strong knowledge of Mac OS architecture. Resolve issues ranging from registry conflicts to system crashes for Windows and Mac OS. Working knowledge of various technologies, including Active Directory, Google Apps for Business, cloud storage services, basic terminal command knowledge, communications, and video conferencing tools. Basic understanding of networks, including TCP/IP, UDP, IP schemas, LAN/WAN design and administration, and wireless networking. Skills And Qualifications Previous customer service experience. Strong troubleshooting skills for Mac, Windows, and Linux environments. Familiarity with Crestron, Extron, Revolab, and video conferencing technologies. Understanding of analog and digital signal flow; cable termination experience is a plus. Excellent interpersonal communication skills and the ability to simplify explanations of complex technical issues. Ability to work with limited supervision, adapt to changing needs, and stay focused while performing repetitive tasks. Self-motivated, detail-oriented, and able to work in a team environment. Fluent in both the local language and English. Compensation Estimated Pay Range: Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location. Our Commitment to Diversity & Inclusion At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for ouremployees butis also critical to our continued success. Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees. We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

Altrad are currently looking for a Graduate Data & AI engineer to join the team based in Middlesbrough or Goldthorpe. The successful candidate will support the delivery of modern, scalable data, analytics and Artificial Intelligence solutions across ASUK.This is an early-career role designed to build strong capability across AI engineering, Generative AI, data engineering, analytics and automation, with particular focus on developing practical AI-enabled solutions that can be applied across the organisation. Key Deliverables Support the design, development and maintenance of scalable data pipelines using Azure Data Factory, Microsoft Fabric, Databricks and related Azure services. Assist with extracting, transforming and integrating data from enterprise systems using SQL, APIs, files, databases and other integration methods. Support the development of lakehouse, data warehouse and medallion architecture components. Help prepare, structure and govern data so that it can be used effectively within analytics and AI solutions. Support the development of Power BI datasets, semantic models, reports and business metrics. Design, configure and develop Microsoft Copilot Studio agents that allow employees to interact with business information, processes and organisational knowledge. Support the development of AI-enabled solutions using Microsoft Copilot, Azure AI Services, Azure OpenAI, OpenAI services, Databricks AI and Python-based AI tooling. Develop, test and refine AI prompts, system instructions and agent behaviours using prompt engineering techniques. Support the development of Natural Language Querying (NLQ) capabilities that allow users to interact with organisational data and information using conversational language. Support the use of Databricks AI and Generative AI capabilities, including intelligent data applications, semantic search, vector search and AI-assisted analytics. Assist with the development of Retrieval-Augmented Generation (RAG) solutions that securely connect Large Language Models to approved organisational data and knowledge sources. Support the development of AI agents and agentic workflows that can automate defined business activities and interact with enterprise systems where appropriate. Test and evaluate AI solutions for accuracy, reliability, relevance, hallucination risk and appropriate use of organisational data. Help develop reusable prompt libraries, AI agent templates and development standards. Support the development of Power Apps, Power Automate workflows and other automation solutions where these complement data and AI use cases. Work with business stakeholders to identify opportunities where AI, data and automation can improve processes, productivity and decision-making. Assist with testing, reconciliation and data validation to ensure data and AI outputs are accurate and trustworthy. Help document technical solutions, data models, AI agents, prompts, business rules and development standards. Follow agreed development, deployment, testing, security, AI governance, version control and DevOps practices. Work collaboratively with data engineers, analytics engineers, AI developers, business stakeholders, consultants and the wider Digital team. Actively explore new technologies and AI capabilities as ASUK's data and AI platforms continue to evolve. Essential Key Requirements / Qualifications: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Science, Engineering or an equivalent relevant discipline/experience. Practical experience in data, software development, analytics or AI through university, placement, work experience, personal projects or equivalent. Baseline technical capability in one or more areas such as SQL, Python, data analysis, databases, AI, machine learning, Power BI or cloud technologies. Strong interest in Artificial Intelligence, Generative AI, data engineering and emerging digital technologies. Interest in how Large Language Models, AI agents and natural-language technologies can be applied to real business problems. Ability to experiment with and improve AI prompts using structured and logical approaches. Good analytical and problem-solving skills with strong attention to detail. Curious and proactive, with a willingness to explore and learn new technologies. Growth mindset, with the ability to learn quickly, ask good questions and respond positively to feedback. Strong communication skills and the ability to work with both technical and non-technical colleagues. Ability to manage assigned tasks responsibly and work effectively as part of a multidisciplinary team. Desirable Exposure to Microsoft data platforms such as Fabric, Azure, Power BI or Databricks. Experience using Generative AI or Large Language Models through academic, professional or personal projects. Exposure to Microsoft Copilot Studio, Azure OpenAI, OpenAI APIs or Databricks AI. Experience creating AI prompts, AI assistants, chatbots or Copilot agents. Awareness of prompt engineering techniques, including grounding, context management, structured outputs and prompt optimisation. Awareness of Natural Language Querying, Retrieval-Augmented Generation, vector databases, embeddings or semantic search. Awareness of common data engineering concepts including ETL/ELT, APIs, data pipelines, lakehouses and data modelling. Awareness of machine learning or data science concepts. Familiarity with Agile delivery, DevOps, Git or software development lifecycle practices. Awareness of responsible AI principles including data privacy, security, governance, bias, accuracy and human oversight.

AI Engineer - Campus and Graduate Level Experience: 1-3 years of relevant experience through internships, academic projects, research, freelance work, or professional roles Location: Location / Hybrid / Remote Reports to: Agentic AI Architect / Senior Forward Deployed AI Engineer Why NewRocket NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners-uniquely focused on enabling enterprises to adopt AI they trust and that delivers lasting business value. NewRocket is also a proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls. As an early-career AI Engineer at NewRocket, you will have the opportunity to learn and apply these emerging enterprise AI practices while helping build practical solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, and business workflows. We to create new kinds of experiences for our customers. Role Overview NewRocket is seeking a hands on AI Engineer - Campus and Graduate Level to support the design, development, testing, and deployment of AI enabled solutions for enterprise clients. This role is ideal for an early career engineer with foundational experience in software development, data, and generative AI who is eager to work on practical, high impact applications of AI-including Claude powered applications, agentic workflows, intelligent automations, retrieval augmented generation (RAG), and ServiceNow based solutions. You will work closely with AI engineers, product managers, data scientists, platform teams, and client facing consultants to prototype and deliver scalable AI capabilities. You will gain exposure to the full AI solution lifecycle, from use case discovery and proof of concept development through production rollout, evaluation, monitoring, and continuous improvement. Travel to clients and conferences as needed. Key Responsibilities AI Solution Development Assist in building, testing, maintaining, and documenting AI enabled applications, workflows, and reusable accelerators. Develop prototypes and proof of concepts using generative AI, large language models (LLMs), including Claude and other model providers as appropriate, RAG, APIs, and workflow automation tools. Support the development of agentic AI solutions that can use enterprise context, call approved tools or APIs, and help orchestrate enterprise processes. Assist with prompt and context engineering, including instruction design, examples, structured inputs, response formatting, and output constraints. Help build AI applications using structured outputs, tool use/function calling, human in the loop review, and workflow orchestration patterns. Help integrate AI capabilities with enterprise platforms, including ServiceNow, where applicable. Write clean, maintainable, secure, and well documented code following engineering best practices. Retrieval, Data, Evaluation & Quality Support data preparation, document ingestion, chunking, embedding, retrieval, prompt development, evaluation, and testing activities for AI solutions. Assist with RAG solutions that ground AI responses in authorized enterprise knowledge sources and data. Help assess model and workflow performance across accuracy, relevance, groundedness, reliability, latency, cost, safety, and user experience. Assist with the development of test cases, evaluation datasets, monitoring approaches, and feedback loops for AI applications. Support techniques that improve reliability and user trust, such as output validation, citation or source grounding patterns, fallback handling, confidence thresholds, and escalation workflows. Identify issues, document findings, and contribute to iterative improvements across AI prototypes and production solutions. Responsible AI & Security Apply responsible AI principles in the development and testing of AI solutions, including awareness of model limitations, hallucinations, bias, privacy, and appropriate human oversight. Help implement safeguards for sensitive data, access controls, authorized data use, prompt injection risks, and unsafe or unintended tool execution. Support human in the loop workflows for sensitive, high impact, low confidence, or exception based AI decisions. Document solution behavior, known limitations, test results, and operational considerations for internal teams and client stakeholders. Cross Functional Collaboration Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams to translate business needs into technical solutions. Participate in requirements gathering, solution design sessions, sprint planning, code reviews, and retrospectives. Support client facing teams with technical research, demos, proof of concept development, and implementation activities. Communicate technical concepts, solution behavior, and findings clearly to both technical and non technical stakeholders. Contribute to internal documentation, technical playbooks, reusable components, prompt libraries, evaluation assets, and knowledge sharing sessions. AI Innovation & Research Stay current on emerging AI technologies, frameworks, Anthropic and Claude capabilities, and enterprise use cases. Complete relevant Anthropic training, partner enablement, and technical education opportunities as available through NewRocket's partnership. Research opportunities to apply generative and agentic AI to improve operational efficiency, employee experiences, customer service, knowledge management, and enterprise workflows. Contribute ideas for new AI capabilities, reusable intellectual property, Agent Packs, accelerators, and product enhancements. Required Qualifications Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline. 1-3 years of relevant experience through internships, co ops, research, freelance work, academic projects, or professional roles. Experience with one or more programming languages, preferably Python, JavaScript/TypeScript, Java, or similar languages. Foundational understanding of software engineering concepts, APIs, databases, source control, and cloud based applications. Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts. Familiarity with LLM application concepts such as context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation. Familiarity with tools or frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services. Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment. Strong problem solving skills, curiosity, attention to detail, and willingness to learn in a fast paced environment. Ability to communicate technical concepts clearly to both technical and non technical stakeholders. Preferred Qualifications Experience building AI, automation, chatbot, workflow based, or data driven projects through coursework, research, internships, hackathons, or personal projects. Exposure to Claude, the Anthropic API, Anthropic Console, Anthropic Academy learning, or Claude focused implementation guidance. Experience using LLM APIs to build conversational AI, document processing, summarization, search, knowledge assistant, or workflow automation applications. Understanding of RAG, vector databases, embeddings, semantic retrieval, AI agents, tool use, or human in the loop workflow design. Familiarity with ServiceNow, including platform development, workflow automation, Virtual Agent, Predictive Intelligence, Now Assist, AI Agents, IntegrationHub, or Flow Designer. Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Familiarity with Model Context Protocol (MCP) concepts, secure API integration patterns, or connecting AI applications to enterprise tools and data sources. Experience working in an agile software development environment. Interest in enterprise consulting, digital transformation, and applying AI to real world business challenges. What You Will Gain Hands on experience building enterprise grade generative and agentic AI solutions, including Claude powered applications where appropriate. Exposure to Anthropic aligned practices for prompt and context engineering, RAG, tool use . click apply for full job details

About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at and on LinkedIn and X. If you are not afraid of a different challenge every day, if you enjoy learning about a wide variety of technologies and if you want to meet, and develop relationships with customers all over the world, then a career in Analog Devices Applications Engineering team could be for you. ADI's Applications Engineers enable the interface between the world's leading analog, mixed-signal and digital signal processing provider and its customers. Whether that involves creating content for customers (e.g. hardware, software, or documentation) or supporting customers from their architecture design right through to issues that occur in the field, Applications Engineers play a vital role in every customer engagement at Analog Devices. Design multi-channel digital receivers and transmitters for phased-array, radar, electronic warfare, satellite communication and military communication markets Develop RF digital converter centric hardware & software from concept (block diagrams) through productization Analyze signal chains using RF cascade concepts like Gain, noise figure, linearity, and power. Engage with internal applications and marketing team members to translate their system requirements into next generation product definitions Guide customers through system integration, troubleshooting and testing If you are not afraid of a different challenge every day, if you enjoy learning about a wide variety of technologies and if you want to meet, and develop relationships with customers all over the world, then a career in Analog Devices Applications Engineering team could be for you. ADI's Applications Engineers enable the interface between the world's leading analog, mixed-signal and digital signal processing provider and its customers. Whether that involves creating content for customers (e.g. hardware, software, or documentation) or supporting customers from their architecture design right through to issues that occur in the field, Applications Engineers play a vital role in every customer engagement at Analog Devices. Essential Responsibilities Design multi-channel digital receivers and transmitters for phased-array, radar, electronic warfare, satellite communication and military communication markets Develop RF digital converter centric hardware & software from concept (block diagrams) through productization Analyze signal chains using RF cascade concepts like Gain, noise figure, linearity, and power. Engage with internal applications and marketing team members to translate their system requirements into next generation product definitions Guide customers through system integration, troubleshooting and testing Minimum Qualifications The candidate should be self-motivated, capable of accepting responsibility and show initiative in identifying and solving challenging technical problems. BS Degree in Electrical/Electronic Engineering with 7+ years of applicable job experience Strong knowledge of RF, analog, digital and mixed-signal fundamentals Good analytical and problem-solving skills Written and verbal communications skills is a must Strong teamwork and inter-personal skills RF cascade analysis (gain, spurious, linearity, noise figure, etc.) and/or mixed signal experience Phased-array, radar, electronic warfare, satellite communication or military communication experience a plus Printed circuit board design experience and exposure to PCB design tools a plus Lab diagnostic equipment (spectrum analyzer, signal generators, power supplies, oscilloscopes, etc.) Proficiency in MATLAB, Python scripting and C/C++ software programming a plus For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days

We're looking for a Python QA Automation Engineer to join EPAM in London, in an onsite working mode, contributing to an AI-driven enterprise project for one of our clients. This role focuses on exposing internal enterprise tooling to AI agents via Model Context Protocol (MCP), ensuring robust quality engineering and compliance across innovative intelligent automation solutions. As a Python QA Automation Engineer, you will be responsible for developing automated testing frameworks, evaluation pipelines, and quality controls for MCP Components within our AI platform. You will work closely with engineering and product teams in a Classic Agile environment to guarantee the reliability, accuracy, and performance of agent-driven workflows operating in enterprise-scale systems. This position offers a chance to define standards for testing AI models and tools in production-like environments while being a critical part of one of EPAM's most transformative projects. Responsibilities Develop automated testing frameworks to validate MCP Servers and related AI systems Design and implement evaluation strategies for LLM accuracy, safety, and reliability Create automated tests using Python, Pytest, and BDD frameworks Build quality gates into CI/CD pipelines to maintain continuous assurance Identify and address agentic AI failure modes such as hallucination, latency, and incorrect tool usage Collaborate with engineering, QA, and product teams to define quality metrics and acceptance criteria Contribute to Agile ceremonies, ensuring testing practices align with sprint goals Prepare detailed reporting on quality outcomes and improvement opportunities Maintain documentation for test cases, evaluation pipelines, and validation strategies Requirements Strong programming experience in Python applied to test automation and evaluation Expertise in Pytest and familiarity with BDD frameworks such as Behave or Cucumber Knowledge of LLM evaluation approaches including RAGAS, DeepEval, or custom pipelines Understanding of common agentic AI issues such as hallucination, tool misuse, and performance bottlenecks Familiarity with automated testing of AI workflows, distributed systems, or microservices environments Strong grasp of Agile delivery methodologies and CI/CD integration for quality checks Excellent communication and problem-solving skills with a focus on accuracy and reliability Nice to have Experience with Model Context Protocol (MCP) or other agent orchestration solutions Exposure to observability, monitoring, or logging tools for AI systems API and service integration testing background for multi-layered platforms Knowledge of containerized environments and cloud-native architecture Background in enterprise AI automation projects or intelligent platform engineering We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

Job Description Overview We're AtkinsRéalis, a world-leading Design, Engineering and Project Management organization. Created by the integration of long-standing organizations dating back to 1911, we are a world-leading professional services and project management company dedicated to engineering a better future for our planet and its people. We create sustainable solutions that connect people, data and technology to transform the world's infrastructure and energy systems. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset, including consulting, advisory & environmental services, intelligent networks & cybersecurity, design & engineering, procurement, project & construction management, operations & maintenance, decommissioning and capital. The breadth and depth of our capabilities are delivered to clients in key strategic sectors such as Engineering Services, Nuclear, Operations & Maintenance and Capital. Our teams are proud to deliver on some of the most prestigious projects across the world. It's thanks to our talented people and their diverse thinking, expertise and knowledge. Join us and you'll be part of our genuinely collaborative environment, where everyone is supported to make the most of their talents and expertise. When it's work-life balance, AtkinsRéalis is a great place to be, so let's discuss how our flexible and remote working policies can support your priorities. Your role We are looking for a dynamic and enthusiastic self-starter to join our team as an Automation Engineer. The role is required to support the delivery of multi-organizational integration, end-to-end process automation projects and our enterprise data warehouse (including MDM, ODS and historic, modelled data). The ideal candidate will be an experienced automation/integration engineer with a software development background, who enjoys optimizing systems as well as building them from the ground up. Support our engineers, automation architects and analysts on initiatives, ensuring the optimal delivery architecture is applied throughout ongoing and future projects. As a staff engineer, hold a strategic understanding of company priorities and make technical decisions to solve business problems. Lead on engagements with various stakeholders, including business leaders and the product and data teams, for deep, complex or high-risk technical projects, controlling the communication around them and supporting their infrastructure needs. Provide context and technical direction, contribute towards technical specifications and help document processes. Design, develop, simulate and test the automation and integration tasks, leveraging the enterprise-scale integration tools in the Azure tech stack (including Azure Logic Apps, Azure Functions and Azure SQL) and Microsoft System Center Orchestrator. Create and maintain optimal integration solutions, including data integration architecture, and support our current integrations. Manage, review, monitor and report on the status of the services that provide automation and integration services for the organisation. Act as the escalation point for all associated incidents to the service. Stay current with industry trends and developments, evaluating new technologies and implementing them where required. Plan and implement technology upgrades, maintenance and fixes. About you Primary / Mandatory Azure cloud services: Azure Logic Apps, Azure Functions and Azure SQL. PowerShell. T-SQL. Highly Desired Microsoft System Center Orchestrator (SCORCH). Good working knowledge of REST API and SOAP/XML. Experience working with Active Directory and associated management tools. Familiarity with other Microsoft System Center products (e.g. SCCM). Desired Azure Active Directory (Microsoft Entra ID). On-premises SQL services: SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS). A successful history of using DevOps best practices, including backlog management, source control (Git) and CI/CD with Azure DevOps. Backend technologies: ASP.NET Core (C#) and Entity Framework Core. Experience delivering integration solutions using modern software technologies and techniques. Experience with Finance / HR ERPs (Workday, Oracle, etc.). Power BI. Rewards & benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage. Worker Type Employee Employee Job Type Regular At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences. Created by the integration of long-standing organizations dating back to 1911, AtkinsRéalis is a world-class engineering services and nuclear company dedicated to engineering a better future for our planet and its people. We create sustainable solutions that connect people, data and technology to transform the world's infrastructure and energy systems. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset including consulting, advisory & environmental services, intelligent networks & cybersecurity, design & engineering, procurement, project & construction management, operations & maintenance, decommissioning and capital. The breadth and depth of our capabilities are delivered to clients in strategic sectors such as Engineering Services, Nuclear and Capital. News and information are available at Atkinsrealis or follow us on LinkedIn.

Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It's an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. What is TechOps? TechOps at Kraken is a modern, lean evolution of traditional enterprise IT. We span everything from hands-on frontline support through to high-impact technical projects and long-term strategic improvements. We are building a small, highly effective TechOps team and are looking for an ambitious, experienced TechOps Generalist to help us scale Kraken safely, securely, and with a strong focus on people. This is a broad role with a huge amount of variety. You'll work across identity, devices, SaaS, networking, automation, and office infrastructure - often at the same time. Ambiguity is a constant, and we're looking for someone who enjoys making sense of it and turning it into action. We operate almost entirely in the cloud, so you'll be exposed to a wide range of modern tools and technologies across the business. Where you'll fit in As a TechOps Team Lead, you will be responsible for the end-to-end running of the Kraken TechOps function. This is a leadership role that requires someone comfortable operating with a high degree of autonomy, while remaining closely aligned with global TechOps leadership. We strongly believe that no matter what role you have within TechOps, it's still important to keep your ear to the ground and see first-hand the problems our people are facing, and the impact that decisions you make have on everyone at Kraken. This means you'll spend a significant portion of your time helping out with day-to-day support alongside your leadership responsibilities. As a Team Lead within TechOps, you will be responsible for balancing the team's everyday workload, managing capacity, and prioritising proactive, planned project work alongside reactive support and unplanned work. The TechOps team operates in an environment with a large amount of ambiguity, and we are looking for someone who can make sense of this, identify the most impactful work, and keep the team focused, motivated and moving at pace. This is a strategically significant role which will require close collaboration with our UK and APAC leaders. You will bring strong leadership skills, service management, and operational experience, with the ability to lead, scale, and mature this function in line with Kraken's growth trajectory. You will have experience in: Significant people leadership experience Scaling teams and services over time Service management, capacity planning, and operational maturity Managing support pipelines, projects, and assignments Building regional processes while balancing global standards Working with internal and external stakeholders and vendors Driving reliability, consistency, and continuous improvement You will bring strong technical depth across areas such as identity, MDM, networking, office infrastructure,and SaaS, with the confidence to challenge partners and vendors when needed. You will be comfortable owning incident management, security and compliance considerations, and contract and service quality oversight. This is a huge opportunity for the right candidate to step in and lead an amazing team that is critical to keeping Kraken moving at pace. What you'll own Define what good looks like for a small, lean, high-performing TechOps team. Own the day-to-day delivery of TechOps services. Support global operations with opportunities to travel to our global sites. Liaise with TechOps leadership and architects to prioritise and deliver project work. Balance reactive support and projects with proactive, planned improvements and projects. Mentor and line manage TechOps team members, supporting their development and career growth. Provide hands-on 1st, 2nd and 3rd line technical support across the business. Collaborate closely with our Security team to balance security, productivity, and user experience. Manage incidents, communications, and follow-ups. Coordinate and deliver complex technical projects involving multiple stakeholders and teams across time zones. Examples of TechOps projects include: Rollout of, and migration to, a new identity provider macOS and Windows MDM migrations Rollout of device trust and posture compliance solutions Replacing insecure factors such as SMS with phishing-resistant authentication Office fit-outs including networking, AV, and access control SaaS migrations for acquisitions (e.g. Microsoft 365 to Google Workspace) What you bring to the party Must have A proven track record of leading successful IT or TechOps teams, ideally through periods of growth. At least 3 years of people management experience. Significant experience managing performance, and professional development. Strong service management and operational experience. Comfort operating in highly ambiguous environments and managing competing priorities. A very strong technical background underpinning your leadership approach. Hands-on experience providing 1st, 2nd, and 3rd line support. Ability to communicate clearly with both technical and non-technical stakeholders. Strong incident management and problem-solving skills. A people-first mindset and a conscientious approach to decision-making. Should have Experience working across time zones and with globally distributed teams Strong opinions on best practice and a desire to challenge traditional IT norms. Experience mentoring team members with varying levels of experience. Experience supporting macOS, Windows, iOS, and Android environments. Experience with Identity & Access Management platforms such as Okta or Microsoft Entra. Willingness to travel and maintain presence in regional office locations if required. Bonus points A foundational understanding of programming or software engineering. Familiarity with security tooling such as CrowdStrike, Kolide, osquery, and Zscaler. Experience with email gateway administration and routing. Don't think you check off all of the above? We love hiring passionate people with a drive to learn so get in touch and let us know which areas you don't currently have confidence and/or experience with, we'd love to hear from you! Kraken is a certified Great Place to Work in France, Germany, Spain, Japan and Australia. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.7. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture. Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at . We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we're looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role We are building a new team from the ground up to develop the first generation of verification and validation infrastructure - both hardware and software - including automated Hardware-in-the-Loop (HIL) systems with sensors and vehicle system emulation. As a HIL System Engineer, you'll lead the design, deployment, and continuous improvement of scalable and modular HIL benches that support end-to-end system integration and validation across multiple vehicle platforms. You'll own the full lifecycle of HIL benches - from requirements gathering and hardware integration to commissioning and workflow improvement. You'll work closely with cross-functional teams including software, hardware, and system validation to ensure HIL systems are reliable, configurable, cost-efficient, and always ready to support fast paced releases. We are looking for engineers with experience in system design, hardware/software system integration, operations, and cross-functional collaboration. Key responsibilities Architect modular, configurable, and cost-effective HIL bench designs for platform integration and validation Consolidate system and test requirements from stakeholders to define HIL design Select and integrate off-the-shelf and custom components, e.g., GPIO module, FPGA board, signal conditioning module, power supply Collaborate with supply chain, program management, hardware, facility teams to ensure procurement, build and lab readiness Own the commissioning workflow for all benches and lead continuous improvement to reduce build and bring up time Collaborate with other HIL engineers to integrate sensor emulation, automation, configuration management Contribute to infrastructure that scales with future test demands and evolving hardware/software platforms Lead HIL bench issue resolution and root cause analysis About you You are passionate about architecting hardware-software test systems that enable scalable and high reliability open-loop and closed-loop testing. You enjoy bridging hardware, software and system engineering within the test validation workflow, and thrive in fast-moving and cross-functional environments. You care about reliability, scalability, and efficiency - and are committed to delivering test platforms that others can count on. You bring a mindset of continuous improvement and take ownership of processes and HIL bench products. Essential Qualifications Bachelor's or Master's degree in System Engineering, Electrical Engineering, Mechatronics, or a related field 5+ years of hands-on experience, designing and managing HIL systems and test benches in autonomous vehicle, robotics, aerospace, or similar industries Solid understanding of system integration, ECU communication protocols Experience selecting and integrating components such as dSPACE/NI/Vector modules, media converters, power supplies and DAQ hardware Strong background with diagnostic tools including but not limited to Vector, Kvaser Proficiency in Linux or Unix based operating systems, command line tools Proven experience in system debugging, issue resolution, and root cause analysis across hardware/software integration, with the ability to drive issues to closure and implement preventative improvements Proven ability to collaborate with cross-functional teams and lead others to solve technical problems even when you don't manage them Strong systems engineering fundamentals across full product life cycle, from system architecture, operation to decommission Excellent cross-functional communication skills Desirable Qualifications Experience with autonomous systems including robotics and/or autonomous vehicles Exposure to vehicle dynamics modeling or closed-loop HIL testing Strong programming/scripting skills in Python, C/C++, or MATLAB/Simulink Proficiency with agile development tools and environments (Jira, Jama, etc) Familiarity with automotive software development requirements and standards, such as ASPICE ,ISO 26262 and ISO 21448 (SOTIF) , with automotive HIL SW and HW products e.g. from Vector and dSPACE and with automotive SW architecture such as AUTOSAR This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Job description & person specification Title: Lead Technologist Department: Digital Reports to: Digital Innovation Lead Job purpose summary: As Lead Technologist, you'll own the technical direction for our innovation product portfolio, leading development of operational intelligence systems, real-time monitoring tools, decision-support platforms and customer-facing experiences. Working embedded with operational, data science, and commercial stakeholders, you'll translate complex requirements into production-ready systems that drive efficiency, safety, and service quality in a live operational environment. Key responsibilities and accountabilities: Drive technical architecture across the product pipeline - from real-time data processing and predictive analytics through to automated operations and intelligent alerting. Lead delivery of production ML/AI systems, working closely with data science and operational teams to deploy models that create measurable business value. Own integrations with operational and enterprise systems, ensuring reliable data flows and system interoperability across complex environments. Run technical discovery and proof-of-concept validation for new capabilities, scoping feasibility and defining delivery roadmaps with cross-functional stakeholders. Coach and develop internal technical capability, setting engineering standards and building a culture of quality, rigour, and continuous improvement. Balance rapid experimentation with production-grade engineering - shipping reliable, maintainable systems while operating in a high-stakes operational context. Create and pitch technical proposals, writing clear business cases that balance speed, risk, and value. Support recruitment and team growth, providing technical assessment, knowledge transfer, and structured onboarding. Manage vendor relationships and technical partnerships, ensuring integrations meet operational and security requirements. Contribute to delivering a great guest experience by performing your role with accuracy and efficiency. Recognising that every task whether guest facing or behind the scenes contributes to supporting the company's overall LLA Way Strategy and service standards. Proactively and positively promote the LLA Way initiatives and projects with all employees and the wider airport community. Our tech-stack You'll be hands-on across technical architecture, proof-of-concept development, and production deployment. Meaningful experience with a subset of these technologies is essential: TypeScript (application development, API services) Python (ML/data pipelines, automation, scripting) SQL (data modelling, querying, optimisation) Azure (cloud services, serverless functions, managed services) Infrastructure as Code (Pulumi preferred, or similar tooling) Full-stack JavaScript frameworks (React, Next.js, or similar modern frameworks) Real-time data processing and event-driven architectures ML/AI deployment patterns (model serving, monitoring, retraining pipelines) APIs & integrations (REST, GraphQL, third-party connectivity) CI/CD pipelines and automated deployment Knowledge, skills, and experience required: Proven delivery track record - you've shipped production data/AI systems in operational, regulated, or high-stakes environments (transport, logistics, utilities, healthcare, or similar). Systems integration experience - comfortable working with legacy enterprise systems and managing complex data flows across multiple sources. Active leadership and initiative - you identify opportunities, shape strategy, and drive outcomes. You don't wait to be told what to do. This is not just a heads-down coding role. Outstanding communication - you translate complex technical concepts for operational teams, present to senior stakeholders, and write clear proposals that get buy-in. You're as comfortable in the boardroom as you are in the codebase. Stakeholder management - experience working embedded with non-technical teams (operations, safety, commercial) and building trust across the organisation. You understand their world and can bridge the gap between technical possibility and operational need. Coaching mindset - comfortable building capability in others, running technical workshops, and operating as both IC and team lead. You raise the bar for everyone around you. Commercial and operational awareness - you understand trade-offs between speed, risk, and business value. You bring a pragmatic lens to scope decisions and project economics. Proactive problem-solving - you anticipate blockers, see around corners, and shape solutions before issues escalation. You thrive in ambiguity and take ownership of outcomes. Comfortable operating in a fast-moving environment with evolving priorities while maintaining technical rigour and quality standards. This job description is intended to give an appreciation of the role and the range of duties and responsibilities to be undertaken. It does not attempt to detail every activity. Specific tasks and objectives will be agreed on an ongoing basis. The post holder will be required at all times to perform any other reasonable tasks, as requested by the Line Manager, in order to meet the operational needs of the business. For any further information, please contact the Human Resources department at . London Luton Airport Operations Ltd collects your personal information when you submit your application. For more details about the personal information LLA collects, how we collect it, why we need it, what we do with it, how long we keep it, and what your rights are, please see our privacy notice at . LLA is committed to fostering, promoting, and preserving a culture of diversity, equality, and inclusion as we carry out our mission. We will always be respectful and seek to learn from those different from ourselves. We strive to be an equal opportunity employer, and we are determined to ensure that no applicant or employee has a negative experience for being who they are. We welcome all applications! LLA is well connected by public transport, with a range of travel discounts and support services available to staff. For more information visit: London Luton Airport Staff Travel Information

We're looking for a Quality Engineer to join EPAM in London, in an onsite working mode, contributing to an AI-driven enterprise project for one of our clients. This role focuses on exposing internal enterprise tooling to AI agents via Model Context Protocol (MCP), ensuring robust quality engineering and compliance across innovative intelligent automation solutions. As a Quality Engineer, you will be responsible for developing automated testing frameworks, evaluation pipelines, and quality controls for MCP Components within our AI platform. You will work closely with engineering and product teams in a Classic Agile environment to guarantee the reliability, accuracy, and performance of agent-driven workflows operating in enterprise-scale systems. This position offers a chance to define standards for testing AI models and tools in production-like environments while being a critical part of one of EPAM's most transformative projects. Responsibilities Develop automated testing frameworks to validate MCP Servers and related AI systems Design and implement evaluation strategies for LLM accuracy, safety, and reliability Create automated tests using Python, Pytest, and BDD frameworks Build quality gates into CI/CD pipelines to maintain continuous assurance Identify and address agentic AI failure modes such as hallucination, latency, and incorrect tool usage Collaborate with engineering, QA, and product teams to define quality metrics and acceptance criteria Contribute to Agile ceremonies, ensuring testing practices align with sprint goals Prepare detailed reporting on quality outcomes and improvement opportunities Maintain documentation for test cases, evaluation pipelines, and validation strategies Requirements Strong programming experience in Python applied to test automation and evaluation Expertise in Pytest and familiarity with BDD frameworks such as Behave or Cucumber Knowledge of LLM evaluation approaches including RAGAS, DeepEval, or custom pipelines Understanding of common agentic AI issues such as hallucination, tool misuse, and performance bottlenecks Familiarity with automated testing of AI workflows, distributed systems, or microservices environments Strong grasp of Agile delivery methodologies and CI/CD integration for quality checks Excellent communication and problem-solving skills with a focus on accuracy and reliability Nice to have Experience with Model Context Protocol (MCP) or other agent orchestration solutions Exposure to observability, monitoring, or logging tools for AI systems API and service integration testing background for multi-layered platforms Knowledge of containerized environments and cloud-native architecture Background in enterprise AI automation projects or intelligent platform engineering We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program