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Join our Asset Intelligence team The Asset Intelligence team provides a range of proactive services to assist clients with managing their estate and software procurement. Success. The Softcat Way. Softcat is a £1billion+ technology solutions business and trusted partner to names like Apple, Microsoft and Adobe. Offering a growing portfolio of services including software licensing, cyber security and IT infrastructure, we give our technical teams the tools and support to make exciting things happen. This is where to achieve more for your career. You will work with customers to manage their cloud spend using the FinOps framework. You will work with several customers and will support them through regular reviews. Your goal is to help customers get the most value from The Cloud, improve and enhance the FinOps offering at Softcat, and to mentor and train the next generation of FinOps Analysts. As Senior FinOps Analyst, you'll be responsible for: · Forming trusted advisor relationships with enterprise scale clients. · Acting as a SME for FinOps within Softcat. · Setting long-term goals with customers, developing strategies to achieve them, and leading initiatives to drive FinOps adoption across the organization. · Utilising industry-leading cloud management tooling and native tooling to proactively leverage FinOps data. · Providing detailed reporting around cost visibility and optimisation, ensuring that insights reach the right stakeholders on the client side. · Providing break/fix support around industry-leading cloud management solutions and leveraging the ticketing system (ServiceNow). · Continuously improving FinOps processes and practices, including identifying areas for improvement, implementing best practices, and staying current with industry trends and development · Developing and driving the service forward, proactively identifying efficiency opportunities within the team. · Running 1 to 1s with members of the team. · Mentoring junior staff. We'd love you to have ·Extensive FinOps knowledge ·FinOps Practitioner Certification is required (FinOps Certified Engineer desired) Knowledge of AWS, Azure, and GCP. Certified in: AZ900, AWS Certified Practitioner, AZ104 (desired), AWS – Certified Solutions Architect (desired) · Extensive experience around multi cloud cost optimisation. · Experience with cloud cost management tooling (CloudHealth, Cloudability, Flexera, and native tools). · Ability to build relationships with multiple stakeholders within an enterprise customer. · Proactively use your own skillset and that of the team to solve problems and challenges whilst supporting more junior members of the team in the same way. · Ownership of your learning and development. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply – we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: • Hybrid working, • Working flexible hours - flexing the times you start and finish during the day, • Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at jobs.softcat.com/jobs/our-culture/ Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.

Trainee AI Engineer - No Experience Needed!\n\nReady to launch a future-proof career in AI - even if you have zero experience?\n\nWe’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location.\n\nWhether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months.\n\nHow it works - your journey to AI success\n\nStep 1: Discover AI\n\nStart your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform.\n\nStep 2: Full-Stack AI Mastery\n\nDive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn.\n\nStep 3: Get Certified\n\nPrepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers.\n\nStep 4: Real-World Projects\n\nShowcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one.\n\nYour guaranteed future\n\nAfter completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home.\n\nWe guarantee a job offer upon completion or 100% of your course fees refunded.\n\nWe’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like.\n\nAt a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nReady to future-proof your career?\n\nIf you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.\n\n‘Please note that this is a training course and fees apply

Trainee AI Engineer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Founding Engineer Manchester (Hybrid) AI Product / Mobile / SaaS The Opportunity Were working with an early-stage, mission-led software business looking to hire aFounding Engineerto play a key role in the next evolution of their product. The business already has a live platform and strong market relevance the next phase is aboutrebuilding and improving the product for the AI era, with a particular foc... ZIPC1_UKTJ

Trainee AI Programmer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Technician – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £28,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\n\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\n\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\n\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\n\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\n\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\n\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\n\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\n\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\n\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\n\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\n\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\n\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\n\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\n\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\n\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £28,000–£45,000\n\nWe Get You Hired\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Junior AI Developer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Developer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Join our Advisory Services team! Our Advisory Services function advise organisations on IT strategy, implementing the most appropriate technologies, optimising their performance, and help them in managing their end to end IT services against business needs. In doing this we help the leaders (CxO's) within our customers maximise productivity and realise the business value of IT for internal and external users. Advisory Services has 3 distinct focuses: • Technology Advisory, • Industry / Vertical Advisory, • Billable Advisory / Consultancy Success. The Softcat Way. There is a uniqueness to Softcat – what we do, how we do it and why we do it. At the heart of our operations are our core values: Passion, Intelligence, Fun, Responsible and Community. These values are the pillars that Softcat and guide our every action. As an Enterprise Technologist you will be working predominantly with our most Large and Complex customers to help them drive largescale technology transformations. Working alongside Softcat's technology sales specialists, Enterprise Architecture team and liaising with our Office of the CTO colleagues you will be one our most senior most Technology Evangelist for Data Centre. The role is 100% focussed on pre-sales engagements and enablement for our largest customers, providing a deep level of understanding of our technology propositions within the context of a customers requirement or problem statement. Enterprise Technologists are expected to drive sales growth within the aligned technology proposition. It is core to the role that the individuals in post are aligned to both the technology proposition but also the sales communities within the business and their growth targets. Within the Technology Proposition area of “Data Centre” we are looking for a candidate with a deep knowledge and experience in High Performance Compute (HPC). Within our customer base we have a growing demand for HPC and we are looking for a candidate who has understanding within the field spanning pre-sales, architecture, implementation and operation of HPC stacks encompassing the vendor landscape, technology heritage and roadmap as well as the customer use cases and lifecycle. As Enterprise Technologist - Data Centre HPC you'll be responsible for: • Attend customer opportunity and strategy meetings, • Focus on and directly influence the sales growth of Data Centre, • Engage at senior level to influence customer technology strategy and become a trusted advisor., • Lead the technical sales teams within the account team , ensuring the solutions proposed are fit for purpose and provide good value, • Function as a proactive member of the relevant Sector/Account leadership teams, • Provide leadership input into transformational sales opportunities within accounts, • Identify and analyse requirements and customer problems and map out capabilities within your technology focus area that fit the requirement, • Liaise with our Technology Proposition and Partner Councils to keep fully abreast of developments in the market and technology GTM's We'd love you to have • Specific knowledge in Data Centre at a senior level i.e. CTO, Senior Sales Engineer, Architecture etc, • and/or Consultancy and/or CTO and/or CIO level experience within Data Centre, • To represent Softcat and the Advisory team by embodying the values of the business and meeting the needs of the role profile (attached), • Experience at leading major largescale transformational programmes, • Relationship focused; experience of building relationships at the highest levels within enterprise customers, becoming a trusted advisor on a technology basis, • Excellent negotiating skills and exceptional commercial skills, • Knowledge of and experience in designing and implementing solutions comprising of multiple technologies and business applications, • Commercially astute with governance experience, • Demonstrable experience in having previously identified and led cross working party initiatives through discovery, selection, implementation, and continuous review to assure customer satisfaction We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply – we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: • Hybrid working, • Working flexible hours - flexing the times you start and finish during the day, • Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at jobs.softcat.com/jobs/our-culture/ Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.

Full Stack Software Engineer - National SecurityLocation: Manchester (Hybrid - 2 days onsite per week)Salary: £50,000 + benefitsClearance: Active SC clearance required (must be eligible to undergo high levels of security clearance) About the RoleSanderson Government & Defence is supporting a highly respected technology and engineering organisation delivering mission-critical solutions into the UK National Security domain. This is an opportunity to work on impactful, cutting-edge systems that protect people, platforms, and sensitive information against evolving threats. You'll be developing innovative products at the intersection of digital and physical systems, contributing to projects that genuinely make a difference. What You'll Be Doing * Designing, developing, and maintaining full stack applications using modern technologies * Writing clean, secure, and test-driven code * Building scalable APIs and integrating UI components with complex data systems * Translating high-level designs into robust technical solutions * Contributing to system architecture, including data ingest pipelines and data stores * Collaborating within Agile teams (stand-ups, sprint planning, demos) * Engaging with stakeholders to understand user needs and shape technical solutions * Supporting continuous improvement and adoption of emerging technologies Key Skills & Experience * Strong Java development experience, ideally with Spring Boot * Frontend experience with React, Vue, or Angular * Experience with test-driven development and modern testing frameworks * Strong understanding of APIs, microservices, and system integration * Ability to produce clear technical documentation and designs * A proactive mindset with a willingness to learn and adapt to new technologies Desirable Experience * Exposure to cloud platforms, DevOps, or platform engineering * Experience working in secure or regulated environments * Interest in AI, data science, or cybersecurity domains What's on Offer * Salary of £50,000 plus a comprehensive benefits package * Hybrid working model (Manchester-based, 2 days onsite) * Long-term project work within the National Security sector * Opportunities for professional growth and upskilling in emerging technologies * The chance to work on meaningful, high-impact systems Important InformationDue to the nature of the work, candidates must hold active SC clearance and be eligible to undergo high levels of security clearance. If you're a curious and driven engineer looking to apply your skills to complex, real-world challenges, we'd love to hear from you. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Hiring a Technical Team Lead to Lead Projects, mentor the team and innovate, using cutting-edge tech: C#, .NET Core, AWS, React.JS, TDD, CI/CD. - Manchester (hybrid) - up to £80K + bonus + benefits Technical Team Lead - Manchester (Hybrid) Are you ready to lead a high-performing engineering team and make a real impact in a fast-paced, innovative environment? I'm hiring an experienced Technical Team Lead to join a forward-thinking company that's transforming the way customer experience. This is your chance to work on cutting-edge technologies, solve complex problems and drive meaningful change in a collaborative and supportive culture. About the Role: As a Technical Team Lead, you'll manage a small team of 3-5 engineers, balancing hands-on technical leadership with people management and delivery excellence. You'll partner closely with Product and Design teams to solve real customer problems while continuously improving how software is built, shipped, and operated. This is a player-coach role, where you'll remain technically credible while fostering an environment where your team can thrive and deliver at a high standard. You'll also embrace change, exploring the evolving impact of generative AI on the software development lifecycle (SDLC). Key Responsibilities: • Team Leadership & Development:, • Line manage engineers, supporting their performance, wellbeing, and career growth., • Set clear expectations and uphold high engineering standards., • Provide coaching, feedback, and tailored development plans., • Build a strong team culture focused on ownership, accountability, and continuous improvement., • Delivery & Execution:, • Own successful delivery of your team's roadmap with predictable outcomes., • Collaborate with stakeholders to shape impactful work., • Remove blockers and optimize team flow for sustainable delivery practices., • Technical Leadership:, • Provide technical direction across your team's domain., • Stay hands-on with architecture, critical components, and code reviews as needed., • Champion best practices like testing, observability, CI/CD, and security., • Engineering Excellence:, • Embed modern software engineering practices across the team., • Promote continuous learning and experimentation., • Use data-driven metrics to guide decisions and improve processes., • Ownership & Accountability:, • Take end-to-end ownership of services from design through production operations., • Ensure systems are reliable, observable, and supportable., • Proven experience as a senior engineer or tech lead for high-traffic fault-tolerant web applications (4+ years)., • Expertise in C# and .NET Core in cloud-based environments; AWS knowledge is highly beneficial., • Strong leadership skills with experience motivating teams to achieve their best work., • Knowledge of professional software engineering practices (coding standards, code reviews, source control management)., • Familiarity with React.JS/Redux or willingness to learn them., • Experience developing features using TDD approaches., • Working knowledge of AWS ECS and containerization practices., • Understanding of Continuous Integration/Deployment pipelines (CI/CD)., • Knowledge of design patterns and SOLID principles for high-quality code. What's in It for You? You'll have the opportunity to work on challenging greenfield projects using modern tech stacks while growing your career alongside industry experts who value innovation and collaboration. A competitive salary of up to £80,000 per annum + discretionary bonus + benefits Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

SOFTWARE ENGINEER £45,000 - £60,000 + BONUSRemote (Uk based) This is an exciting opportunity to join a high-growth data and machine learning company that predicts KPIs for major brands and provides market-moving insights to investors. You'll take ownership of critical engineering systems that power daily KPI forecasts. THE COMPANY: You'll join the AI & DataOps team, a cross-functional engineering group working across software engineering, data engineering, and applied machine learning. With strong commercial growth and continued expansion, they are now hiring a Software Engineer to take ownership of their AWS infrastructure. THE ROLE: Key responsibilities include: • Owning and maintaining AWS infrastructure (Lambda, Step Functions, DynamoDB, S3)., • Building and enhancing internal Python libraries (API design, releases, versioning)., • Managing trackers, Lambdas, Step Functions, DynamoDB tables, and API integrations (including Slack-based pipelines)., • Python, • AWS services including Lambda, Step Functions, S3, DynamoDB, EC2/ECS., • Infrastructure-as-code (Terraform or CloudFormation)., • CI/CD, testing, and software engineering best practices. THE BENEFITS: You will receive a salary of £45,000 - £60,000 depending on experience, plus a performance-based bonus and strong opportunities for technical ownership and growth. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Founding Lead EngineerNorth West / Remote (Manchester access required)£70,000–£110,000 + equity Our client is building an AI and data-driven consumer platform. They are looking for a hands-on Founding Lead Engineer to join from day one. You’ll work directly with the founders to design, build and launch the product, owning both the technical architecture and delivery. This is a true zero-to-one role combining coding, architecture and team leadership, including managing an offshore engineering team. Tech stackTypeScript, React, Tailwind, React Native (Expo), Fastify APIs, Postgres, with a strong focus on AI-enabled features and scalable data infrastructure. What we’re looking forStrong full stack engineer with experience building and launching productsComfortable designing scalable systems from scratchExperience leading or coordinating engineering teamsAble to move quickly and solve complex problemsExperience integrating third-party platformsStartup or early-stage build experience preferredActively using AI tools like Cursor, Copilot or Claude in development workflows Interest in fitness or wellbeing is a plus. The setupRemote initially, moving to hybrid as the team grows. Manchester access required. Why joinFounding role with real ownershipShape the product and technical direction from day oneMeaningful equity alongside salary If you would like to become our Founding Lead Engineer, please apply now! #INDMM

Are you a senior civil engineering professional ready to shape the UK’s mission-critical infrastructure? At Black & White Engineering, you’ll join a team designing and delivering the civil engineering foundations behind high-performance data centres across the UK. This role places you at the centre of hyperscale and colocation data-centre development—projects that demand strategic thinking, robust technical delivery, and the ability to design resilient infrastructure supporting the UK’s rapidly expanding digital economy. As a Principal / Associate Director (Civil Engineering), you will take a leading role in delivering complex, future-ready and operationally critical facilities used by global cloud providers, AI platforms, high-density compute environments and large-scale digital operations. You’ll work closely with major UK clients, manage multidisciplinary design teams and help influence key technical and commercial decisions that shape infrastructure relied upon by millions. If you’re a civil engineer who thrives in a fast-paced, engineering-led environment - with genuine responsibility, visibility and the chance to shape nationally significant projects, this is your opportunity. Your Future With us • Leadership on Mission-Critical Projects - Lead the civil design and delivery of hyperscale and colocation data centres throughout the UK - from feasibility assessments and planning submissions through to detailed design, construction support and commissioning. Your input will guide drainage performance, resilience, groundworks strategy and long-term operational success., • Strategic Client Partnership - Work closely with major UK and international clients, providing senior-level direction, design assurance and value-driven civil engineering solutions. You’ll translate complex site constraints into compliant, efficient and future-proof strategies that position you as a trusted engineering advice., • Technical Depth & Innovation - Manage civil engineering design packages including site layouts, drainage/SuDS, utilities, highways access, earthworks, foundations and overall site infrastructure. Ensure full alignment with UK Building Regulations, local planning policy, SuDS requirements, UK Water Authorities, BRE, and relevant BS/EN standards., • Cross-Disciplinary Collaboration - Collaborate with mechanical, electrical, structural, architecture, sustainability and BIM teams to deliver integrated engineering solutions that meet demanding performance and regulatory expectations for mission-critical projects., • Talent Development & Team Leadership - Mentor engineers, support succession planning and help shape a high-performing, technically excellent team culture across the UK., • Business Influence & Growth - Help strengthen Black & White’s footprint across the UK market by identifying opportunities, developing client relationships and supporting strategic expansion within the mission-critical sector. Essential Skills • Extensive experience in civil engineering within the UK, ideally in mission-critical, industrial, commercial, infrastructure or major development projects., • Strong expertise in drainage/SuDS, utilities, earthworks, site development, pavement design and general civil infrastructure., • Proficient knowledge of UK standards, including Building Regulations, BS/EN standards, CIRIA SuDS Manual, DMRB, and planning requirements., • Strong capability with Civil 3D, MicroDrainage/InfoDrainage, AutoCAD and associated civil modelling tools., • Proven background leading complex projects and multidisciplinary civil engineering teams., • Excellent communication skills and confidence presenting to clients and authorities., • Chartered status (CEng, MICE) or working toward professional accreditation. In addition, you will be joining a community that focuses on learning and development through regular lunch and learn sessions, investment in accredited professional courses or educational programmes. You can set the pace for your professional development, and whatever path you choose, you will receive relevant support. Company Overview Black & White Engineering is a multi-award-winning engineering consultancy with offices across the UK, Europe, the Middle East and Asia Pacific. We are a leading provider of engineering design services for the data centre sector, delivering expertise across Mechanical, Electrical and Plumbing (MEP), Civil and Structural, Power Systems, Sustainability, BIM, Design Management and wider specialist infrastructure disciplines. Our teams support projects across all areas of the construction industry, offering practical, efficient design solutions that prioritise real-world installation, maintenance and operational performance. As one of the fastest-growing consultancies in our industry, we offer genuine opportunities for progression - many of our engineers have developed into leadership roles as the business has expanded. Joining Black & White means making a meaningful impact with clients and colleagues, while receiving the recognition you deserve.

Data Products Engineer - Contract - 6 months + Data Engineer / Data Analyst / Analytics / SQL / Python Not every data role is about dashboards or ad-hoc analysis. This one is for someone who enjoys getting close to the data itself taking messy, real-world raw data and turning it into clean, reliable datasets that other teams and clients can actually trust and use. It's a hands-on role sitting at the intersection of data modelling, quality and product thinking, with plenty of ownership and room to influence how data products are designed and evolved. What you'll be working on You'll be part of a Data Products team responsible for shaping behavioural data into well defined, client ready datasets. Day to day, you will: • Design and evolve data schemas and fields, turning product requirements into clear, well modelled datasets, • Build and maintain data feeds using SQL, Python and internal (AI-assisted) tooling, • Apply business logic, validation rules and quality checks across large datasets, • Investigate data issues and improve reliability, consistency and trust in the outputs, • Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements Who this role suits This role is a good fit if you: • Enjoy working hands on with data rather than sitting at arm's length from it, • Like figuring out how real-world digital behaviour should be represented cleanly, • Care about data quality, edge cases and consistency, • Are comfortable collaborating with engineers, product managers and non technical stakeholders, • Strong SQL skills and experience working with large datasets, • Experience with at least one data-friendly language (such as Python), • A high level of attention to detail, • Experience with event-level or behavioural data (web, apps, ads, etc.), • Awareness of privacy and governance considerations, • Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks) How you'll work • Hybrid role, Manchester-based, • 2 days per week in the office, the rest flexible For further details and to apply, please send your CV to jon.brass @ circlerecruitment.com Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

Data Engineer - Manchester (Hybrid) Skills - Data Engineer, SQL, ETL, Python, AWS If you enjoy solving messy data problems and turning them into clean, reliable pipelines, this could be worth a look. We're working with a growing tech business in Manchester that builds large scale data platforms used by major global organisations. Their product is built around real world data and analytics, and they're expanding the engineering team that keeps everything running smoothly behind the scenes. They're now looking for a Data Engineer to help develop and support the data pipelines that power customer reporting and analytics. You'll be working with large datasets, building ETL processes, improving performance, and generally making sure the data is accurate, reliable and scalable. It's a collaborative environment where engineers are trusted to solve problems, suggest improvements, and get involved in shaping how the platform evolves. What you'll be doing You'll spend your time building and improving data pipelines, working with both batch and real time processing across large datasets. A typical week might involve: • Writing and improving ETL jobs, • Working with Python and SQL to process and transform data, • Investigating and fixing tricky data issues, • Improving pipeline performance and reliability, • Collaborating with product and engineering teams to turn requirements into working data solutions, • Reviewing code and sharing knowledge across the team What they're hoping you'll bring You don't need to tick every box, but the sort of background that tends to work well here includes: • Experience working as a Data Engineer or in a similar data focused role, • Strong Python and SQL skills, • Experience working with cloud platforms (AWS or similar), • Confidence working with large datasets and complex data problems, • An interest in improving pipelines, tooling and processes The setup The team works on a hybrid basis from Manchester, usually spending two days a week in the office and the rest wherever you're most productive. There's also a shared on call rota once you're settled in, with additional compensation for this. For further details and to apply, please get in touch with jon.brass @ Circlerecruitment.com Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

Data Engineer £65,000 to £75,000 basic salary per annum plus an excellent benefits package including bonus, pension, 25 days holiday (can buy up to 10 additional days), two wellness days, two volunteering days, healthcare scheme, excellent career development plans (courses & certifications), hybrid working (1–2 days per week in the office), and more. Our client, a leading UK law firm ranked as one of the best companies to work for in the country, is seeking a Data Engineer to join their growing AI team on a permanent basis. This is a fantastic opportunity to join an innovative law firm where the utilisation of AI has become fundamental to their business strategy. Reporting to the Head of AI & Innovation, and working with a small team of Data Engineers, you will play a key role in building a greenfield Azure / Fabric-based data platform to support firm-wide analytics and client-facing AI products. The successful Data Engineer will have experience across cloud and on-prem technologies and a keen, demonstrable interest in working with AI. Essential skills: • At least 5 years of Data Engineering experience, • A proven end-end project leader across all aspects of the project lifecycle, • SQL, • Python, • Cloud (Azure) and on-prem technologies If you are interested, please click the “apply now” button. Add me on LinkedIn to stay up to date with new opportunities - search “Ollie Cottrill” and you’ll easily find me. Coaction Recruitment Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers.

The Site Reliability Engineer plays a critical role in ensuring that our AI-driven, cloud-native platform is reliable, observable, secure, and able to scale with the organisation’s growth. As we adopt intelligent agents, autonomous workflows, and increasingly complex distributed systems, the SRE ensures that resilience, performance, and operational excellence are built into everything we deliver. By partnering closely with Engineers, Architects, and the Engineering Manager, the SRE defines the patterns, tooling, and automation that enable fast, safe, and repeatable deployments. This role safeguards our production environment, drives continuous improvement across CI/CD and observability, and establishes the reliability practices that empower autonomous squads to move quickly without compromising stability. The SRE is essential to maintaining customer trust, supporting AI-first innovation, and ensuring our platform remains robust, secure, and highly available at scale. In this position you will ensure the reliability, scalability, and security of our engineering systems. Working closely with the Engineering Manager and Head of Engineering, the SRE will identify priorities to remove friction from engineering teams, streamline processes, and enhance operational excellence. This role combines software engineering principles with systems administration to deliver robust, automated, cost-effective, and secure-by-design solutions. Key Responsibilities Reliability, Performance & Security: • Design and implement strategies to improve system reliability, availability, and security., • Ensure all solutions follow secure-by-design principles, incorporating cybersecurity best practices from inception through deployment., • Own and optimise Continuous Integration and Continuous Deployment pipelines., • Embed security checks (e.g., static analysis, dependency scanning) into CI/CD workflows., • Implement and maintain monitoring solutions for infrastructure and applications., • Develop dashboards and alerting systems to ensure proactive incident and security event management., • Automate repetitive tasks to improve efficiency and reduce human error., • Build and maintain internal tools that support engineering productivity and security compliance., • Manage and optimise services across AWS and Azure environments., • Ensure scalability, resilience, and security of service-based architectures., • Lead incident response efforts, including security incidents, and conduct post-mortem reviews., • Proven experience in AWS and Azure cloud environments., • Strong background in CI/CD tools (e.g., Azure DevOps, Pipelines, GitHub Actions, Jenkins)., • Expertise in monitoring and observability platforms (e.g., Prometheus, Grafana, Datadog)., • Proficiency in scripting and automation (Python, Bash, PowerShell)., • Familiarity with containerisation and orchestration (Docker, Kubernetes)., • Solid understanding of networking, security, and cost optimisation in cloud environments., • Knowledge of cybersecurity principles, secure coding practices, and compliance frameworks., • A problem-solver with a proactive mindset., • Comfortable working in fast-paced, evolving environments., • Strong communicator who can bridge gaps between operations, development, and security teams., • Passionate about automation, scalability, cost efficiency, and security.

Senior Data Engineer £65,000 - £75,000 Manchester or Leeds (Hybrid) This is an opportunity to join a growing, modern banking organisation that is investing heavily in its data platform as it scales. You will have a real impact on how data is engineered, governed and made ready for analytics and AI across the business. THE COMPANY They are a UK-licensed banking organisation offering commercial banking, SME lending and financial infrastructure to a wide network of fintech clients. THE ROLE As a Senior Data Engineer, you will join the Data and AI function and take ownership of core data engineering work while shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: • Designing and building scalable ELT and ETL pipelines across a cloud environment., • Developing curated data models to support analytics, reporting and operational use cases., • Improving performance, cost efficiency and reliability of the cloud data warehouse., • Embedding data quality, observability and governance controls. The successful Senior Data Engineer will have the following skills and experience: • Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM., • Proficiency in SQL and Python for data processing and orchestration tools such as Airflow, • Experience with modern modelling approaches and tooling such as dbt. The successful Senior Data Engineer will receive the following benefits: • Salary between £65,000 - £75,000 - depending on experience Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Are you a senior structural engineer ready to influence the UK’s mission-critical infrastructure? At Black & White Engineering, you’ll join a team designing structural engineering solutions for some of the most advanced data centre projects across the UK. This role places you at the heart of hyperscale and colocation data-centre development - projects that demand robust structural integrity, technical excellence and the ability to design for heavy plant, high loads and demanding performance criteria. As a Principal Structural Engineer, you will take a defining role in delivering resilient, high-performance facilities that support global cloud providers, AI platforms, high-density compute and large-scale digital operations. You’ll work closely with major UK clients, lead multidisciplinary structural teams and shape high-impact technical decisions that support infrastructure relied upon nationwide. For someone who thrives in a fast-paced, engineering-driven environment with genuine authority and visibility, this is an opportunity to elevate your leadership on nationally significant projects. Your Future With Us • Leadership on Mission-Critical Structural Projects - Lead structural delivery for hyperscale and colocation data centres across the UK—from feasibility and concept through RIBA stages, detailed design, construction and commissioning. Your work will define the structural performance of high-load, heavy-density environments., • Strategic Client Partnership - Provide senior technical guidance, design assurance and strategic planning to UK data-centre clients and global technology operators. You’ll deliver structural solutions that balance robustness, buildability, cost efficiency and long-term sustainability., • Technical Depth & Innovation - Oversee detailed structural design packages including steel and reinforced-concrete frames, foundations, lateral stability systems, dynamic plant loads, vibration performance and heavy-duty equipment support structures. Ensure compliance with UK Building Regulations, BS/EN/Eurocodes and local authority requirements., • Cross-Disciplinary Collaboration - Work closely with civil, mechanical, electrical, architectural and BIM specialists to deliver fully integrated engineering solutions aligned with the demands of mission-critical facilities., • Talent Development & Team Leadership - Mentor engineers, develop future leaders and help drive a culture of excellence, innovation and collaboration within our UK structural engineering teams., • Business Influence & Growth - Play a key role in expanding Black & White’s structural engineering capability across the UK - strengthening relationships, supporting bids and helping shape our presence within the data-centre sector. Essential Skills • Strong structural engineering experience in the UK, ideally in mission-critical, industrial, commercial or high-load environments., • Expertise in RC and steel design, dynamic analysis, heavy plant loading, foundations and complex structural systems., • Excellent knowledge of UK Building Regulations, BS/EN/Eurocodes and UK planning/approval pathways., • Strong proficiency with structural analysis tools such as ETABS, Robot, Tekla, RFEM, SCIA, Revit and related modelling platforms., • Proven ability to lead large structural engineering packages and multidisciplinary teams., • Excellent communication skills and confidence engaging with clients and approving bodies., • Chartered status (CEng, MIStructE/MICE) or working toward recognised accreditation. Company Overview Black & White Engineering is a multi-award-winning engineering consultancy with offices across the UK, Europe, the Middle East and Asia Pacific. We are a leading provider of engineering design services for the data centre sector, delivering expertise across Mechanical, Electrical and Plumbing (MEP), Civil and Structural, Power Systems, Sustainability, BIM, Design Management and wider specialist infrastructure disciplines. Our teams support projects across all areas of the construction industry, offering practical, efficient design solutions that prioritise real-world installation, maintenance and operational performance. As one of the fastest-growing consultancies in our industry, we offer genuine opportunities for progression - many of our engineers have developed into leadership roles as the business has expanded. Joining Black & White means making a meaningful impact with clients and colleagues, while receiving the recognition you deserve.

Moorepay is transforming. We are a trusted leader in UK Payroll and HR solutions, but we aren't resting on our history. We are embarking on a major digital transformation to redefine how businesses manage their most important asset: their people. As the Principal Software Solutions Architect, you’ll be the technical authority responsible for defining, governing, and evolving the end-to-end architecture of our “AI First” platform, ensuring architectural consistency, secure-by-design principles, and long-term scalability across all engineering squads. Working closely with the Engineering Manager, Cloud & Platform Engineering Lead, and Product leadership, this role shapes our architectural strategy, drives technical excellence, and provides deep guidance to multiple autonomous squads as we scale towards high-performing, cloud-native teams. The Architect balances hands-on solution design, strategic planning, technical oversight, and stakeholder collaboration to keep the platform robust, secure, and ready for future growth. This role defines the architectural backbone that enables the entire engineering organisation to scale effectively. As we transition to multiple autonomous squads, you will ensure our systems remain leading edge, secure, resilient, and consistent enabling rapid product delivery while maintaining high standards of engineering excellence. You will leave an enduring impact on the platform’s foundations, influencing everything from service boundaries to reliability strategies and cloud platform design. This is a full time, permanent role working on a hybrid basis with 3 days per week in Manchester. Key Responsibilities: Team Leadership & Scaling • Define and maintain the technical architecture vision and roadmap across all squads., • Ensure alignment of architecture with business goals, engineering strategy, and long-term scalability., • Drive system-wide architectural decisions, providing clear technical direction for squads., • Evaluate emerging technologies and propose solutions that improve scalability, performance, and developer productivity., • Embed secure-by-design principles into architectural decisions., • Ensure threat modelling is performed for new features and major changes., • Champion secure coding standards and integration of security testing into the delivery pipeline., • Collaborate with security and compliance stakeholders to ensure solutions meet regulatory and governance requirements., • Own the end-to-end architectural design for major platform components and new product capabilities, with a focus on AI First., • Work closely with Engineering Manager and Engineering Team Leads to ensure solutions are consistent, secure, and scalable., • Lead architecture reviews and ensure adherence to design standards, technical patterns, and best practices., • Produce solution blueprints, reference architectures, and technical documentation., • Define scalable service-based architectures leveraging cloud-native patterns., • Work with the Lead SRE to ensure architectural designs account for:, • Observability (metrics, logs, tracing), • Reliability (SLIs, SLOs, failover), • CI/CD automation, • Infrastructure as code and environment design, • Partner with Engineering Manager to ensure squads have clear architectural guidance., • Support teams in breaking down complex technical problems into executable, scalable solutions., • Provide architectural input into backlog refinement, release planning, and prioritisation., • Act as the primary facilitator for cross-team architectural decision-making., • Define and maintain engineering standards, reusable patterns, and architectural principles., • Champion continuous improvement across code quality, security, performance, and operational readiness. Essential: • Proven experience as a Principal Architect, Solutions Architect, or Senior Engineer leading architectural decisions in complex systems., • Strong understanding of AI technologies such as agents and models for both accelerated design & delivery as well as delivery of product capabilities., • Strong background in cloud-native architectures (microservices, event-driven, distributed systems)., • Deep understanding of secure-by-design principles, threat modelling, cryptography basics, and modern security practices., • Experience with API design, integration patterns, and domain-driven design (DDD) and Event Driven Design., • Ability to influence without authority and collaborate effectively across engineering, SRE, product, and leadership teams., • Exceptional communication skills, capable of simplifying complex technical topics for diverse stakeholders., • Extensive experience with modern programming platforms and frameworks (e.g., Node.js, C# .NET, React)., • Experience designing solutions in regulated or compliance-driven industries., • Background in DevOps, platform engineering, or SRE practices., • Experience scaling architectures to support high-growth environments., • Certification in cloud or architecture frameworks (AWS SA Pro, Azure Architect Expert, TOGAF, etc.).

Data Engineer Manchester (Hybrid) £55,000-£60,000 Our client is an established, fast-growing digital business on a mission to transform the way customers access financial products. With a large team of people across multiple locations, the organisation prides itself on an innovative, data-driven culture where teams are empowered to work autonomously, collaborate effectively, and continuously improve. The environment is energetic, modern, and forward-thinking, with a strong focus on solving complex customer problems and redefining what a seamless digital experience looks like. This is an exciting opportunity to join a business investing heavily in its data capabilities as it continues to scale. Role Purpose As a Data Engineer, you will take ownership of the organisation's data platform, covering both SQL Server workloads and a modern cloud-based data ecosystem. You'll ensure the reliability, scalability and performance of data pipelines, enabling high-quality analytics and supporting self-serve visualisation for teams across the business. This is a hands-on role where you'll help evolve the data architecture, contribute to the development of cloud-based solutions, and play a key part in strengthening data governance, quality, and accessibility. Data Engineer Responsibilities • Data Reliability & Performance, • Maintain and optimise SQL Server databases hosted on AWS RDS., • Troubleshoot SSIS packages and scheduled jobs., • Conduct performance tuning, query optimisation, indexing and cost efficiency reviews., • Support backup, disaster recovery and high-availability strategies., • Ensure high levels of data reliability for operational and reporting systems., • Modern Data Platform Development, • Contribute to the build and enhancement of a data lake / lakehouse architecture., • Work with AWS tools such as S3, Glue and Lambda., • Develop robust, scalable data pipelines., • Prepare clean, structured datasets for visualisation tools (preferably Tableau)., • Collaboration & Continuous Improvement, • Partner with Product, Engineering and Analytics teams to deliver end-to-end data solutions., • Support data governance, security and quality initiatives., • Stay curious and adaptable, especially as AI continues to reshape data engineering practices. Essential Skills & Experience • Strong SQL Server expertise (T-SQL, performance tuning, indexing)., • Experience managing SQL Server environments within AWS RDS., • Hands-on SSIS development experience., • Proven background in building and maintaining data pipelines., • Experience preparing data for BI/visualisation tools (Tableau desirable)., • Strong analytical, problem-solving and communication skills., • Knowledge of data warehousing and/or data lake concepts., • Any Data DevOps experience (e.g., Terraform, GitHub) would be highly beneficial. Experience & Behaviours • You'll bring experience in a similar data engineering or senior backend engineering role, comfortable working in cloud-based production environments. This role suits someone who takes real ownership-not just of their code, but of platform stability, data quality, and best practice.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way. As we continue to expand, we’re seeking a Cloud Security and Platform Engineer who will play a key role in our engineering team, working on our underlying infrastructure that supports our applications and business. The Role: RealityMine is seeking a Cloud Security and Platform Engineer to play a key role in strengthening security, governance, and assurance across our cloud and SaaS environments. This is a security focused role, centred on improving posture, visibility, and confidence in how our platforms are used, while enabling engineering teams to move quickly and safely rather than imposing unnecessary barriers. This role is mainly focused on AWS, with growing involvement in other cloud and SaaS platforms. You’ll improve existing environments—managing identity and access, governance, security, observability, and lifecycle—by reducing risks, eliminating unsafe configurations, validating ownership, and ensuring the cloud estate is clearly governed and auditable. You will take an active role in improving RealityMine’s security posture by improving and operating security scanning, improving monitoring and observability, and ensuring risks, vulnerabilities, and end of life components are identified and addressed in a timely and pragmatic way. You will also develop automation used to support security and operational hygiene, reducing manual effort and helping teams adopt consistent and repeatable ways of working. This role also spans SaaS and productivity tooling, including contributing to Microsoft 365 security best practice and broader SaaS security governance. You will support audit activity, ISO 27001 compliance efforts, and responses to security reviews, translating requirements into practical improvements rather than box ticking exercises. You will work closely with engineering teams under the guidance of the Operations Team Lead. A key part of the role is fostering a positive security culture: helping teams understand risk, embedding secure defaults, and enabling product delivery while maintaining a strong and proportionate security posture as the platform continues to evolve. Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same! Key Responsibilities: • Understanding requirements and acceptance criteria, • Proactively surfacing improvement plans for quality, security and performance, • Monitoring and improving security posture across infrastructure, custom applications and SaaS services, • Interpreting software development specifications and design documents, • Writing application code and tests that conform to standards, • Producing work that is of high quality and adheres to our company standards., • Working alongside data engineering, testing, user experience and other roles, • Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety. About You: We value adaptability and a proactive mindset. From time to time, you may be asked to tackle new technologies, unfamiliar projects, or collaborate with different teams across the business. After a suitable induction period, you will also join our out of hours on call team, for which you will receive additional compensation. At RealityMine, our culture is built on innovation, self-motivation, support, and open communication, and we expect you to demonstrate these values not only through technical expertise, but also through how you collaborate, influence, and support others. Here’s what were looking for: · Experience with AWS best practice configuration for performance and security · Experience improving cloud security posture · Experience with cloud governance and hygiene · Ability to identify and manage security risk · Understanding of information security, ISO 27001, and other processes and policies · Knowledge of coding standards · Experience using AI tools to enhance productivity and quality · Experience working with security tooling such as SIEMs, SAST analysers, vulnerability scanners · Ability to enable teams through a pragmatic approach to security · Development experience with Python, Terraform and CloudFormation · Experience with AI Tooling and Governance Preferred: · Experience with migrating from legacy AWS services · Experience of other clouds, e.g. Azure, GCP · Experience with working with Puppet and/or Puppet Bolt · Experience with Serverless technologies on AWS (Lambda, SQS, SNS etc) · Experience with Terraform Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here. Your Benefits · Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave. · Peace of Mind: Life assurance and a workplace pension with employer contributions. · Reward for Performance: Bonus scheme that recognizes your hard work and contributions. · Cycle to Work Scheme: For the cyclists among us, we've got you covered. · Gear You’ll Love: Choose the tech that works for you, we'll try and source it! · Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing. · Giving Back: Join us in supporting local charities and making a positive impact. Hybrid Working We know work-life balance matters, so we’ve embraced a flexible hybrid working model: · Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues. · Free parking and secure bike shed. Excellent public transport links. · Split your time between the office and home, with 2 days working in our offices. · Full equipment provided for home working (desk, screen, chair). · Receive £100 annually to personalise your home workspace. · Flexible start and finish times to suit your personal circumstances. If you’re a Cloud Security and Platform Engineer professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you. Please email your CV with the heading ‘Cloud Security and Platform Engineer’ to

📢 Ready to help us pipeline our way to success? Read on to find out more about our new position, Data and Solutions Engineer. The investment arm of a market leading financial services company is expanding. With over £1 billion assets under management, we are committed to delivering innovative solutions and driving business growth through data. With a strong focus on adopting the latest technologies, we are transitioning our data infrastructure from hosted SQL Server to a modern cloud-based environment on Azure. 🚶Could this be the next step in your career? We are seeking an experienced Data Engineer to join our Engineering team with the primary focus of providing technical support to the Investment & Decision Science teams driving investment and analytical decisions. You will play a crucial role in providing technical and analytical solutions to challenges faced by the investment team operating at the heart of the investment process, supporting our migration to cloud technologies and assisting with any future applications of AI-driven technologies. The ideal candidate will have a strong foundation in traditional data engineering skills while being able to adapt to modern tools such as Azure Data Factory, Power BI, and Databricks, with Python as the primary coding language. This role requires hands-on experience with database design, ETL development, data integration, and a passion for data quality and governance. 🗓 So, what will your day-to-day look like? • Data Best Practices: Ensure best practices are followed in data creation, management, and database performance., • Data Solution Design: Translate high-level data solutions into detailed low-level designs and work packages and supporting the production of analytical outputs , operational insights and visualisations to be utilised by the investment team., • ETL Development: Build and manage high-quality, secure, and governed ETL processes using on-premise and cloud-based data sources., • Data Quality & Monitoring: Design data observability and quality checks into all ETL processes, enabling proactive identification of discrepancies., • Performance Optimisation: Optimise data platforms, ETL processes, and database solutions for reusability and performance., • Financial Calculations: Writing robust and repeatable formulae, prescribed by the Investment team to calculate a range of valuation metrics, to be referenced by the investment team throughout the valuation and decision making process (examples including IRR’s, NPV’s and ROI’s). 👆Does this sound like you? • 3+ years of experience designing and deploying business data ETL packages and data-based systems., • Strong proficiency in Python, T-SQL, and other traditional Microsoft SQL Stack technologies., • Excellent analytical and problem-solving skills., • A solid understanding of data quality and governance practices., • Proven ability to work effectively in teams, demonstrating strong interpersonal and collaboration skills., • Familiarity with Microsoft Azure tools such as Azure Data Factory, Power BI, Data Pipelines, and Data Lake., • Experience with Azure Data Lake and Delta Lake design pattern implementation, including file hierarchy and low-level permissions management (desirable)., • Experience in building CI/CD pipelines in Azure DevOps with managed identity (desirable). ⏳ The Application Timeline • A first stage video call with the internal talent acquisition team (15 minutes), • A second stage introductory video call with the hiring manager (30 minutes), • A face to face formal interview with the hiring manager (60 minutes) Typically, the average successful applicant will be within this timeline for 2-3 weeks. Please note we will close this role once we have enough applications for the next stages therefore you should submit your application ASAP to avoid any disappointment. If you do not receive a response after 3 weeks of applying, please assume you have been unsuccessful as we may experience a high volume of applications. 💥Why you should be EXCITED to apply... 💵£50,000 DOE + up to 20% of your annual salary, paid as a bonus. 📍This role is based at our Manchester Spinningfields office. Did we mention the free coffee bar and beer tap? Don't believe us? See for yourself! 🕰37.5 hours per week. We offer flexible and hybrid working between our core hours of 8am- 6pm, Monday to Friday. 🎓The opportunity to complete formal qualifications and learn on the job in a successful, growing organisation. ♾And many more benefits to support your wellbeing and professional development. We are an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or disability status. If you have any questions or suggestions of how we can assist you in your application due to disability or personal reasons, please email . PLEASE NOTE - All new employees must undergo a full DBS and Credit Check upon acceptance of a job offer with Perch Group.

Principal AI Engineer Hybrid Working on Client Site £100,000 to £130,000 plus bonus and benefits This is a standout opportunity to shape and deliver cutting‑edge digital solutions that drive real operational impact. You will work directly with clients, embedding AI, advanced analytics, and digital tools into live environments and seeing your work translate into tangible outcomes. The Company This organisation is known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‑ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will be joining a growing team with significant influence on its future direction. The Role • Identify high‑impact opportunities to apply AI, data science, advanced analytics, and digital tooling., • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools., • Work closely with client teams on the ground to embed solutions directly into operations., • Guide multi‑disciplinary teams that combine people, processes, and technology to deliver sustainable results., • Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders., • Mentor colleagues and help shape best‑practice approaches across digital programmes., • Stay current with emerging technologies and bring innovative ideas into client delivery. Client site travel is essential as you will drive change alongside client teams. Your Skills and Experience • Strong commercial experience taking digital ideas from concept through to operational impact., • Deep capability in AI, data science, advanced analytics, or digital tooling., • Ability to turn technical designs into practical, in‑operation solutions., • Confident leading teams and managing stakeholders across technical and non‑technical backgrounds., • Skilled at communicating complex ideas simply and clearly., • A hands‑on, client‑centric approach with a focus on delivering measurable outcomes., • Comfortable working on‑site with clients to drive change in real time. What They Offer • Clear progression pathways with structured development support., • Exposure to high‑impact projects across diverse sectors., • A collaborative digital community with access to the latest technologies. How to Apply If you are excited by the opportunity to deliver meaningful, data‑driven impact, please apply with your CV.

Full Stack Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We welcome you to apply! When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company. We’re seeking a future team member for the role of Full-Stack Engineer to join our team. This role is located in Manchester In this role, you’ll make an impact in the following ways: • Lead and develop inclusive, high performing engineering teams; set clear objectives, coach talent, and build succession plans while representing engineering in program reviews and governance forums., • Own end to end delivery of mission critical software—from requirements and architecture to implementation, testing, deployment, observability, and reliability—while ensuring compliance and operational excellence., • Raise engineering excellence and resilience: enforce best practices and automation across code, testing, microservices/APIs, performance, and infrastructure; champion secure by design (secure coding, logging/monitoring, incident playbooks, disaster recovery)., • Partner with product, design, and ops to turn outcomes into measurable technical plans, steer architecture modernization, integrations —aligned to BNY’s principles and pillars. To be successful in this role, we’re seeking the following: • Proven leadership of software engineering teams building distributed systems and microservices in agile environments such as Scrum or Kanban., • Hands-on AI development using modern tools and IDEs (e.g., Windsurf) and familiarity with integrating AI into products., • Strong expertise in Java (preferably Spring) and architectural patterns for scalable, observable, and testable systems., • Proficiency in modern engineering practices including CI/CD (e.g., GitLab), automated testing (JUnit/Spock), code reviews, quality focused test-driven development, and DevOps culture., • Hands-on experience with containers (Docker) and private cloud infrastructure, alongside familiarity with service telemetry tools (e.g., Splunk, AppDynamics)., • Track record of talent development including hiring, coaching, performance management, and building collaborative, learning-focused teams., • Dedication to understanding the business domain and translating product strategy into architecture and delivery plans., • Corporate Actions domain experience strongly preferred., • Experience with JavaScript/TypeScript and Angular for full-stack development contexts preferred., • Expertise in Spring Framework, software architecture, and API/platform design preferred., • Background in financial services, risk and controls, and regulated environments preferred. At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. This is a talent pipeline posting and does not represent any one particular job opening. By applying to this pipeline requisition, your interest will be reviewed for multiple potential openings based upon your background and disclosed work preference.

Role: Machine Learning Engineer (Speech) Location: Manchester, UK (Hybrid) About the job Can you see yourself revolutionising the Agentic AI industry? We are a multi-award-winning AI and SaaS provider based in Manchester, dedicated to boosting productivity and efficiency across our global customer base spanning five continents. As a Machine Learning Engineer, you will be the architect responsible for maximising the fluidity, scale, and performance of our ASR and TTS products within the Agentic AI pipeline. This role offers a world-class research and production environment: you will work alongside like-minded scientists who develop state-of-the-art models, acting as the vital link between experimental research and enabling these bespoke systems to be used by our customers. Your primary focus will be implementing highly efficient inference pipelines for real-time and offline speech recognition and synthesis, ensuring our Agentic vision translates into a seamless user experience. Responsibilities • Liaise with ASR and TTS technical leads, software engineers, and DevOps teams to deploy models efficiently on Hopper and Blackwell GPU architectures., • Maintain steady biweekly progression within our sprint-based research environment., • Implement low-latency, real-time inference ML pipelines using tools such as Triton Inference Server, vLLM, or SGLang., • Optimise model performance across cloud platforms using frameworks like TensorRT and ONNX., • Build and maintain robust API services using Python-based web frameworks (e.g., FastAPI)., • Manage containerisation and orchestration workflows using Docker and Kubernetes., • Ensure system reliability through observability and monitoring tools like Prometheus, Grafana, and OpenTelemetry., • Write concise technical documentation and research papers. Requirements • MSc plus 2+ years of hands-on experience in Speech or Generative AI., • Deep understanding of Generative AI, Neural Networks, and the latest LLM architectures., • Expert-level proficiency in Python and PyTorch., • Proven experience in performance optimisation and cloud platform deployment., • Strong background in containerisation and orchestration (Docker, K8s, etc.)., • Demonstrated ability to deploy and scale low-latency ML pipelines in production., • Strong oral and written communication skills.

New Permanent Opportunity available with a leading National Security Organisation for an eDV cleared Data Engineer in Manchester • Manchester location – hybrid working when possible, • Must hold active Enhanced DV Clearance (West), • Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus, • Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You’ll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework and are set for significant growth. What will the Data Engineer be Doing? You will develop mission-critical data solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: • Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi)., • Ensure data consistency, quality, and security across all processes., • Create and maintain database schemas and data models., • Integrate and enrich data from diverse sources, maintaining data integrity., • Maintain and enhance existing architectural components such as Data Ingest and Data Stores., • Troubleshoot and diagnose issues within integrated (enriched) data systems., • Collaborate with the scrum team to decompose user requirements into epics and stories., • Write clean, secure, and reusable code following a test-driven development approach., • Monitor system performance and implement updates to maintain optimal operation. The Data Engineer Should Have: • Active eDV clearance (West), • Willingness to work full-time on-site in Manchester when required. Required technical experience in the following: • Apache Kafka, • Apache NiFI, • SQL and noSQL databases (e.g. MongoDB), • ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to . For further information please call me on 0161 416 6800 / 07719065951 - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on Twitter @SearchableHenry or connect with me on LinkedIn, just search Henry Clay-Davies (searchability). I look forward to hearing from you. KEY SKILLS: DATA ENGINEER / DATA ENGINEERING / DEFENCE / NATIONAL SECURITY / DATA STRATEGY / DATA PIPELINES / DATA GOVERNANCE / SQL / NOSQL / APACHE / NIFI / KAFKA / ETL / MANCHESTER / DV / SECURITY CLEARED / DV CLEARANCE

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Manchester. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Manchester, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

This is a rare opportunity to join at the start of something big. The excitement of a scaleup with the security of a big, established company. We are helping a large UK-owned software group to build and scale a world-class, modern software engineering organisation in Manchester. They have very ambitious plans and the budget to make it happen. We are looking for a Software Engineering Team Lead to guide a cross-functional squad to deliver secure, reliable, and high-quality software. You’ll combine hands-on coding with technical leadership, mentoring engineers, and driving best practices in cloud-native development, CI/CD, and Agile delivery. Collaboration is key—you’ll work closely with Product, Architecture, and SRE teams to ensure alignment and technical excellence. What we’re looking for: • Proven experience as a Senior Engineer with leadership responsibilities, • Strong technical skills in .NET and/or JavaScript frameworks (e.g., Node.js, React.js), • Experience with Agile delivery, DevOps principles, and secure software development, • Experience with software design and a good understanding of architectural principles, • Experience implementing agentic AI development Benefits include an industry-leading benefits package, with hybrid working in their central Manchester office. Apply now for full details. Please note: Visa sponsorship is not available. Applicants must have the right to work in the UK indefinitely. Tilo Consulting values diversity and welcomes applicants from all backgrounds.

RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way. As we continue to expand, we are seeking a Data Platform Engineer who will play a key role in building and supporting our internal data infrastructure. The ideal candidate will have strong programming and DevOps skills, expertise in Python and AWS, and a passion for debugging and improving data processes. This role requires collaborative problem-solving, a keen attention to detail, and the ability to translate complex business requirements into robust data solutions. The Role: You will tackle complex data challenges in a fast-paced, exciting environment, leveraging cutting-edge Amazon Web Services (AWS) technologies such as Lambda, SageMaker and Bedrock to develop innovative and scalable data solutions. RealityMine has an out of hours on-call team (additional compensation is made for on call hours) that you will be asked to join after a suitable settling in period. Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same! Key Responsibilities: · Proactively identify opportunities to improve the data platform, including the performance, architecture and design, and take ownership of the implementation. · Continually review and measure the performance of the data platform and evaluate improvements in design, architecture and tooling. · Become a subject matter expert for the data platform and supporting processes, actively sharing knowledge and contributing to our culture of continuous learning and development. · Regularly reviewing colleagues’ work and providing helpful feedback. · Contribute to technical discovery by working with stakeholders to clarify problems, challenge assumptions and shape defined requirements before implementation. · Take ownership of production systems, independently investigating issues, identifying root causes and driving them through to resolution. · Writing application code and tests that conform to standards, with a focus on scalability. · Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety. About You: Here’s what we’re looking for: · Python development experience as a Data or Platform Engineer, using AWS. · Analytical skills to be able to present decisions to stakeholders in a data driven way. · The ability to problem-solve and break down complex problems, whilst working on large and complex datasets. · Knowledge of agile software development best practices including continuous integration, automated testing and working with software engineering requirements and specifications. · Good interpersonal skills, positive attitude and willing to help other members of the team. · Experience provisioning and managing AWS services using infrastructure as code such as AWS CloudFormation or Terraform. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Knowledge of Serverless technologies, framework and best practices. · Experience provisioning and managing Apache Airflow. · Exposure to using AI tools to enhance productivity and quality. Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here. Your Benefits · Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave. · Peace of Mind: Life assurance and a workplace pension with employer contributions. · Reward for Performance: Bonus scheme that recognizes your hard work and contributions. · Cycle to Work Scheme: For the cyclists among us, we've got you covered. · Gear You’ll Love: Choose the tech that works for you, we'll try and source it! · Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing. · Giving Back: Join us in supporting local charities and making a positive impact. Hybrid Working We know work-life balance matters, so we’ve embraced a flexible hybrid working model: · Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues. · Free parking and secure bike shed. Excellent public transport links. · Split your time between the office and home, with 2 days working in our offices. · Full equipment provided for home working (desk, screen, chair). · Receive £100 annually to personalise your home workspace. · Flexible start and finish times to suit your personal circumstances. If you’re a Data Platform Engineer professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you. Please email your CV with the heading ‘Data Platform Engineer’ to

RealityMine has been a pioneer in delivering data driven insights to the world's largest brands for over a decade. Our platform provides unique data solutions to our clients enabling them to make strategic, informed decisions powered by data from real people, collected in a privacy safe way. We’re looking for an Automation Engineer to help build, maintain and evolve RealityMine’s test automation capabilities and device farm infrastructure. The Role: You’ll sit in the Automation/Device Farm team and take responsibility for ensuring our products are thoroughly, consistently and efficiently exercised across a wide range of devices and platforms. Day to day you’ll use test automation frameworks (including our AI-assisted tools), scripting (e.g. Python and JavaScript), CI/CD tooling and our internal observability tools to design and execute automated test suites, manage device infrastructure, and provide fast, reliable feedback to product and engineering teams. Our offices are in Trafford Park, Manchester and the role consists of hybrid working, where we ask for our team to be in the office for collaboration and team building 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same! Key Responsibilities: · Design, implement and maintain automated test suites for mobile apps, SDKs and backend services, ensuring good coverage of functional, regression and integration scenarios. · Manage and evolve the device farm (physical and/or virtual devices), including provisioning, configuration, monitoring and optimisation of device usage. · Build and maintain test automation frameworks and tooling, integrating them with CI/CD pipelines to provide fast and reliable test feedback. · Collaborate closely with Engineering, Data, Product and QA teams to understand requirements, define test strategies and embed automation early in the development lifecycle. · Monitor and improve test reliability and stability, investigating flaky tests, performance bottlenecks and environmental issues. · Contribute to and maintain documentation for automation frameworks, device farm processes, test strategies and runbooks. · Use AI‑assisted tools where appropriate to accelerate test creation, diagnosis and maintenance while keeping quality and reliability front‑of‑mind. · Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety. About You: You enjoy building robust automation systems and you’re motivated by making complex test environments stable, observable and easy for others to use. You like working close to the product and understanding how real users interact across different devices and platforms. You must have: · Hands‑on experience with test automation for mobile and/or web applications (e.g. Appium, Espresso, XCUITest, Selenium, Playwright, etc.). · Strong skills in at least one programming or scripting language used for automation (e.g. Python, JavaScript, TypeScript). · Experience integrating automated tests into CI/CD pipelines, or using orchestration platforms such as Apache Airflow · Practical experience working with real and/or virtual devices (Android, iOS, emulators/simulators) and dealing with the challenges of scale, stability and configuration. · A structured, detail‑oriented approach to test design, reliability and debugging. · Clear, proactive communication and a collaborative approach to working with engineers, QA and product stakeholders. · Willingness to use AI tools to accelerate learning, test creation and analysis while applying critical thinking and verification. Nice to have but not essential: · Experience managing or using a device farm solution (e.g. AWS Device Farm, Firebase Test Lab, BrowserStack, Sauce Labs, or an internal farm). · Familiarity with observability and monitoring for test and device infrastructure (logs, metrics, dashboards, alerts). · Knowledge of mobile platform internals (Android/iOS), SDK integration testing, or backend API testing. · Exposure to AWS‑based infrastructure or similar cloud environments. Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll find a home here. Your Benefits · Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave. · Peace of Mind: Life assurance and a workplace pension with employer contributions. · Reward for Performance: Bonus scheme that recognizes your hard work and contributions. · Cycle to Work Scheme: For the cyclists among us, we've got you covered. · Gear You’ll Love: Choose the tech that works for you, we'll try and source it! · Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing. · Giving Back: Join us in supporting local charities and making a positive impact. Hybrid Working We know work-life balance matters, so we’ve embraced a flexible hybrid working model: · Located in Trafford Park, our Manchester office offers an inspiring, collaborative space to work alongside your colleagues. · Free parking and secure bike shed. Excellent public transport links. · Split your time between the office and home, with 2 days working in our offices. · Full equipment provided for home working (desk, screen, chair). · Receive £100 annually to personalise your home workspace. · Flexible start and finish times to suit your personal circumstances. If you’re a Automation Engineer professional excited to work on impactful projects and shape the future of data insights, we’d love to hear from you. Please email your CV with the heading ‘Automation Engineer’ to

Software Engineer Fully remote £50,000 - £60,000 + bonus up to 25% This is a great opportunity for a Python Software Engineer with strong AWS skills to take ownership of production systems and internal frameworks that power data products across the organisation. You will work closely with AI, data and product teams, helping build and scale tooling that directly impacts how insights are delivered. The Company They are a data‑driven organisation investing heavily in AI, automation and modern cloud infrastructure. Their teams build products that help internal and external users make better decisions through reliable, scalable systems. You will join a collaborative environment where engineers work closely with data scientists and product stakeholders, and where ownership and innovation are encouraged. The Role You will • Co‑own an internal Python framework used to build KPI and anomaly detection trackers., • Take ownership of an anomaly detection system built on AWS, ensuring it is robust, scalable and production ready., • Build and maintain serverless components including Lambda functions, Step Functions, SQS queues and DynamoDB tables., • Collaborate with another engineer and work closely with the system’s creator to complete, run and continuously improve the platform., • Contribute to releases, code quality, testing and versioning across shared GitHub repositories., • Work with data scientists and engineers to translate requirements into high‑quality, production‑ready code., • Support wider AI and Data Ops initiatives within a team of software, AI and data engineers. Your Skills and Experience You will have • Strong commercial experience with Python, writing clean, production‑ready code., • Hands‑on experience with AWS services including Lambda, Step Functions, SQS and DynamoDB., • Ability to work with the core data science stack such as pandas., • Experience contributing to shared codebases and managing releases., • Knowledge of SQL., • Bonus skills include anomaly detection experience, Slack API integrations, and strong SQL capabilities. What They Offer • Opportunity to co‑own critical internal frameworks and production systems., • Collaborative AI and Data Ops team with strong engineering and data expertise., • Clear progression and ownership in a growing technical function. How to Apply If you are interested in this Software Engineer role, please apply with your CV.

Data Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

Backend Product Engineer (London) - Relocation support available from anywhere in the UK! We’re looking for a Backend Product Engineer to help scale high-growth systems and support the next phase of product expansion. This role focuses on building reliable, secure, and high-performing backend services that power new features and capabilities. Responsibilities • Scale and evolve backend infrastructure, • Design and build performant APIs and services, • Develop infrastructure to support advanced technologies (including AI/ML), • Optimise database performance and queries, • Improve system reliability through monitoring and alerting, • Experience working in product-focused engineering environments, • Strong skills in TypeScript and Node.js, • Hands-on experience with cloud platforms and infrastructure as code (e.g. AWS, Terraform), • Solid knowledge of relational databases (e.g. PostgreSQL), • Experience with serverless architectures (e.g. AWS Lambda), • You enjoy building and solving complex problems, • Comfortable working in a fast-paced, evolving environment, • Interested in startup or high-growth environments, • Collaborative, pragmatic, and motivated, • London-based role with an in-office working environment, • Competitive salary, • Relocation support available for candidates relocating to London from anywhere in the UK

Founding Engineer Manchester (Hybrid) AI Product / Mobile / SaaS The Opportunity We’re working with an early-stage, mission-led software business looking to hire a Founding Engineer to play a key role in the next evolution of their product. The business already has a live platform and strong market relevance — the next phase is about rebuilding and improving the product for the AI era, with a particular focus on user experience, intelligent workflows, and mobile-first product thinking. This is a rare opportunity to join at a genuinely influential stage, working directly with the founders to help shape what gets built, how it gets built, and where the product goes next. If you’re the kind of engineer who enjoys owning product problems, building in ambiguity, and turning ideas into shipped features, this is a very interesting role. What You’ll Be Doing • Taking a hands-on role in the evolution of the core product and mobile experience, • Building and shipping features using modern AI tooling, including LLMs, prompt engineering, and agent-based workflows, • Improving and shaping the user experience through better product thinking, architecture, and delivery, • Working closely with the founders to turn product ideas into scalable, high-quality software, • Identifying where AI can genuinely improve customer outcomes — not just where it looks good on a roadmap, • Making practical decisions around architecture, integrations, tooling, and technical direction, • Helping establish the foundations for the future engineering roadmap and team What We’re Looking For • Strong hands-on software engineering background, • Experience building and shipping real product in startup, scale-up, or high-ownership environments, • Experience working on customer-facing applications, ideally with some exposure to mobile / app-led products, • Practical experience using AI in production, including areas like:, • LLMs, • prompt engineering, • AI-assisted workflows, • agent-based functionality, • Comfortable working across product, engineering, and technical problem-solving, • A strong builder mindset — someone who enjoys getting things live, improving products, and solving meaningful user problems, • Comfortable in a fast-moving, founder-led environment Nice to Have • Experience with consumer products, engagement-led products, or behaviour-driven applications, • Exposure to open banking, fintech, or data-led products, • Experience working as an early technical hire or in a Founding Engineer / first product engineer type role, • Interest in helping shape technical direction as the business grows Why Join • Founding-level opportunity with genuine ownership, • Direct access to founders and product direction, • Opportunity to help shape an AI-native product in a meaningful way, • High-impact role where you can influence both what gets built and how it gets built, • Hybrid working in Manchester, • Equity opportunity as part of the package

Mechanical Engineer – Data centres Building Services Design Oldham / Manchester Area Salary up to & around £55,000 + benefits Do you have experience in Building Services Design and would now like to work on mission critical projects? We’re working closely with a global Design & Build consultancy specialising in mission-critical data centre and critical infrastructure projects, delivering complex engineering solutions across the UK, Europe, and the USA. We are looking for an Mechanical Engineer at either Intermediate, Engineer or Senior level to join a growing design team of nearing 20 individuals to help deliver world-class digital infrastructure for some of the world’s leading organisations. Data centres power the modern digital world, supporting everything from cloud computing and AI to global finance and streaming services. As a design engineer in this sector, you’ll work on complex, mission-critical infrastructure that must operate 24/7 with absolute reliability. It’s one of the fastest-growing engineering industries globally, offering exposure to cutting-edge technology, large-scale international projects, and exceptional long-term career opportunities. While a large proportion of their work is in the data centre industry, they also work on a handful of other mission critical infrastructure projects in the education, retail and healthcare sectors. How to apply? If you want to start your career designing the systems that power the global digital economy, this is your opportunity to join a company delivering cutting-edge infrastructure projects across the UK, Europe, and the USA. Jevon Astley-Jones is the consultant dealing with this Mechanical Engineer vacancy, please get in touch for more information.

We're hiring a Gen AI Engineer If you've built LLM systems that actually work in production — not prototypes, not demos — this is worth reading. What our client does They're an AI company operating at the intersection of computer vision and large language models, building intelligent workflows for industries where work happens in the field: utilities, telecoms, energy, retail. Their platform processes real-world operational data at scale, helping global enterprise clients make faster, safer and more accurate decisions about their assets and people. They own a dataset in this space that nobody else has. That matters when you're building AI that actually needs to work. 50+ models in production. Real clients. Real scale. The role You'll own LLM applications end to end. Architecture, prompt engineering, RAG pipelines, eval tooling, guardrails, all of it. No handoffs, no red tape. You build it, you own it. Stack: LangChain / LangGraph, AWS Bedrock, Pinecone / FAISS / Weaviate, DeepEval / Langfuse, Docker, Python. Multimodal capability essential. What we're looking for • 2+ years building and deploying production LLM systems, • Hands-on with RAG, vector databases and retrieval optimisation, • Eval tooling experience: DeepEval, Langfuse, Ragas or equivalent, • Strong Python and LLM orchestration frameworks, • Multimodal LLM experience (text + image/video), • Can own a model autonomously without hand-holding Why join Small senior team. Bi-weekly shipping cycles. Remote-first with optional London office and monthly meetups. Equity, healthcare allowance, pension. The problems are hard. The data is unique. The ownership is real.

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

Plessey has a long history of innovation. Founded in 1956, we have evolved from one of Europe’s earliest semiconductor pioneers into the world’s most advanced microLED specialist. Over the decades, Plessey has built a first class, fully integrated platform designing, manufacturing, and engineering next-generation display technologies entirely in-house. This end-to-end capability, combined with our strong IP portfolio, uniquely positions us to lead the scaling of MicroLED’s from lab innovation to high-volume production. Our future is even brighter. We believe MicroLED’s will define the next era of technology—powering ultra-efficient AR/VR displays, driving optical processors that make AI faster and more sustainable, and enabling devices yet to be imagined. With our unique expertise and talented team, we are positioned to lead this transformation. It’s an exciting time to join us: Plessey has recently been acquired by Haylo Labs, accelerating our growth and opening new opportunities. Our Values • Lead, • Grow, • Trust Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are looking for a Senior Software Engineer to support the development of automated reliability and characterisation test systems for MicroLED devices. The role combines test software development, instrument control, and data analysis, supporting both the execution of reliability campaigns and the analysis of device performance and degradation. The engineer will work closely with hardware engineers and test engineers to develop software tools that control laboratory equipment, automate test procedures, and analyse large datasets generated during device testing. Key Responsibilities • Develop and maintain automated test software for reliability and characterisation systems., • Interface with laboratory instruments and test hardware using LabVIEW, C++, and Python., • Support the execution of device reliability campaigns and engineering experiments., • Develop tools for data collection, processing, and analysis., • Work with engineering teams to interpret results and identify device behaviour trends., • Contribute to improving the automation and robustness of internal test platforms. Skills, Knowledge and Expertise • Master’s degree in Physics, Electronic Engineering, or a related discipline., • Proficiency in LabVIEW and C++., • Working knowledge of Python for data processing and analysis., • Hands-on experience with communication protocols such as SPI and I²C., • Experience working with laboratory bench instruments such as power supply units (PSUs), oscilloscopes, pattern generators and multimeters., • Strong analytical mindset with attention to detail., • Ability to work independently with minimal supervision. Advantage • Experience with NI TestStand for automated test environments., • Background or practical experience in semiconductor device testing., • Experience analysing large datasets and developing mathematical models for device behaviour and degradation., • Familiarity with reliability testing methodologies (e.g., lifetime or stress testing).

Overview We are looking for a Senior Data Platform Engineer who thrives on execution and delivery. This role is ideal for a hands-on, high-performing engineer who is passionate about building scalable data platforms and enabling other engineers across the organisation. You will play a key role in developing and evolving our data platform infrastructure, empowering Data Engineers to build and operate reliable data products efficiently. The ideal candidate combines strong database expertise, Snowflake experience, and Infrastructure as Code (Terraform) with a passion for platform engineering. As our platform evolves, we are also investing heavily in Agentic AI systems. Engineers in this team will increasingly act as “Team Leaders of AI Agents”, designing platforms that enable autonomous AI-driven workflows across the data ecosystem. Key Responsibilities Platform Engineering • Design, build, and maintain the data platform infrastructure used by Data Engineering teams., • Enable engineers across the organisation by creating self-service platform capabilities and automation., • Develop and maintain infrastructure using Infrastructure as Code (Terraform)., • Manage and optimise data platform architecture, with a strong focus on Snowflake and database systems., • Implement best practices for data storage, performance, governance, and security., • Act as a platform enabler for the wider Data Engineering community., • Build tools, templates, and workflows that accelerate delivery., • Contribute to the development of agentic AI-enabled data platforms., • Design systems that allow engineers to orchestrate and supervise AI agents performing data tasks., • Work toward a future where engineers act as “Team Leaders of AI Agents”, managing autonomous workflows at scale. Required Skills & Experience • Strong experience in Data Platform or Platform Engineering roles, • Expertise in Terraform / Infrastructure as Code, • Hands-on experience with Snowflake, • Strong background with databases and data infrastructure, • Proven ability to deliver and execute at a high level, • Experience enabling and supporting data engineering teams, • Strong engineering mindset with a focus on practical delivery rather than strategy Desirable Experience • Experience building internal platforms or developer platforms, • Knowledge of modern data stack architectures, • Experience with automation, CI/CD, and cloud-native environments, • Interest or experience in AI-driven automation or agentic systems What We're Looking For • High performer who enjoys building and shipping solutions, • Platform-minded engineer who enjoys enabling others, • Passionate about data infrastructure and developer experience, • Curious about the future of engineering in the age of AI agents

Lead AI Engineer Location: Flexible, Europe preferred Type: Full time Overview I am supporting a new AI venture backed by an established global technology platform in digital publishing and print infrastructure. The team is building an AI powered design editor that allows users to generate fully customised, print ready assets from natural language prompts. Unlike template based tools, this system creates original layouts, graphics, and structured outputs end to end. The Role You will operate at the intersection of backend engineering and applied AI, designing and building scalable systems that support production grade AI workflows. This is a hands on role with architectural ownership, focused on taking AI systems from concept through to reliable, high traffic deployment. Key Responsibilities • Design and build backend systems for AI driven content generation, • Develop and scale LLM pipelines, including orchestration and evaluation, • Build agent based workflows for structured content generation, • Architect APIs using Python, FastAPI, and Pydantic, • Ensure systems are robust, scalable, and optimised for production inference, • Collaborate with product and design teams to translate user prompts into structured outputs, • Own performance, reliability, and cost optimisation across AI services Requirements • Strong backend engineering experience with Python, • Proven experience building and deploying LLM based systems in production, • Experience with FastAPI, Pydantic, or similar frameworks, • Hands on experience with RAG, prompt engineering, or agent based systems, • Understanding of system design for high traffic, low latency environments, • Experience working across cloud platforms such as AWS or GCP, • Ability to operate as a senior individual contributor with ownership of architecture and delivery Nice to Have • Experience with generative design, graphics, or structured document generation, • Exposure to multimodal models or layout aware systems, • Background in building tools for creative or publishing workflows

We’re Hiring on Behalf of Our Client: ML & AI Engineers Our client, a forward-thinking organization investing heavily in AI and machine learning innovation, is looking to hire ML & AI Engineers across multiple experience levels. If you’re passionate about deploying scalable AI systems and working on cutting-edge technologies, this could be your next move. Role Overview As an ML & AI Engineer, you will be responsible for automating model deployment, managing version control, and ensuring production-ready AI systems. You’ll also play a key role in integrating AI/LLM agents with strong observability and rollback mechanisms. Location : Leeds/Manchester Client : IT End Client :Banking domain Work Mode: Hybrid Contract : Inside IR 35 Salary : Market Standards Key Responsibilities • Automate ML model deployment workflows, • Manage model versioning and release processes, • Monitor inference cost, latency, and model drift, • Safely integrate AI/LLM agents into production systems, • Implement observability, alerting, and rollback mechanisms Experience Levels We’re hiring across multiple seniority levels: • Senior Developer: 3–6 years (ML/AI Engineering), • Lead Engineer: 7–9 years (ML/AI Engineering), • Architect: 10+ years (ML/AI Engineering) Required Skills • Model deployment automation, • Model version control, • Monitoring (cost, latency, drift), • Production integration of AI/LLM agents, • Observability & rollback systems Preferred Skills • Experience with containerized environments (Docker/Kubernetes), • Familiarity with CI/CD pipelines for ML (MLOps) Education Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Location Flexible / Open (depending on project requirements) Employment Type Full-time Why Apply? This is a fantastic opportunity to work with a client at the forefront of AI innovation, building scalable, production-grade systems that make a real impact. Interested? Apply now or message me directly to learn more. Referrals are welcome! #Hiring #AIJobs #MLEngineer #MLOps #TechCareers #Recruitment #AIEngineering

Founded by ___, creator and co-founder of ___ (Series B, $425M valuation), Colossal is building at the intersection of generative app development and commerce infrastructure. Think: Lovable for commerce. We're backed by Tier 1 investors: ___, ___, ___, and are planning to raise our seed round later this year. Why Colossal? We're building the world's first AI-native commerce infrastructure platform, working with bleeding edge technologies and paradigms to redefine how businesses sell online. Join our early team and help shape the future of AI commerce. We’re still in stealth, so get in touch to learn more. 🥷 What we’re looking for • 5+ years experience building service-oriented software products end to end, ideally at early-stage startups, • A strong understanding of AI-based developer tools, methods and paradigms, • Generalist mindset with experience across the full stack, • Strong understanding of CI/CD, cloud infrastructure, observability, and developer tooling, • Comfortable owning products and features end to end, and taking responsibility for performance and optimisation, • Strong communicator, able to distribute knowledge across the team effectively through documentation, talks, demos and presentations What you’ll do • Build and own core backend services for our commerce infrastructure tools, including billing, workflows, and financial operations, • Build features that integrate AI into real-world product experiences, • Play a key role in software architecture design, including research, writing POCs for further refinement How we hire • Initial call with the founder (30 mins), • Complete a take home exercise, • Task review and pair programming with a team member (1 hour), • Meet with the product team for 2-way interview (30 mins), • Offer stage (including reference checks) To apply, please send your resume and a brief intro describing your interest to:

Robotics Deployment Engineer (Field & Applications) Full-time | Permanent Location: London, UK (or remote) Compensation: £60,000-80,000 per year. Travel: 80% across Europe. Role Overview Our customer, an AI robotics start-up, is building and scaling the deployment of AI-driven robotic arms for industrial environments, including manufacturing facilities and logistics operations. This role focuses on bringing these systems from concept to real-world performance at client sites. This role is the first of it's kind within the business, and they are now looking for an deployment engineer with a growth mindset who wants to join their journey, build/deliver a deployment process, and facilitate further growth in the area of field operations. What You’ll Do • Design and streamline end-to-end deployment workflows, covering technical pre-sales input, safety integration, and handling processes, • Lead on-site implementation of robotic solutions, ensuring successful installation, calibration, and operational readiness, • Track system performance post-deployment and collaborate with engineering teams to refine and optimise results, • Contribute to commercial efforts by providing technical expertise during client discussions alongside leadership, • Oversee and coordinate complex deployments for strategic customers, • Occasionally support AI development initiatives in partnership with the technical team Your Background Core Requirements: • Proven hands-on experience deploying robotic systems in real-world environments, • Strong organisational and project leadership capabilities, • Working knowledge of robotic software, machine vision, industrial cameras etc., • Genuine interest in robotics and artificial intelligence, combined with a self-driven and structured approach to work, • Experience with industrial robotic arms or collaborative robots, • Exposure to technical sales or pre-sales activities in robotics, • Familiarity with AI-based robotic applications, • Understanding of software rollout and integration processes, • Additional language skills (French and/or German)