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Trainee Data Engineer Programme No Experience RequiredThis is a self-funded career programme with a guaranteed job on completion or 100% of your course fees backTrain. Certify. Get Hired.Are you looking to start a career in data but don't know where to begin?The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In todays digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.Newto Training's Data Analyst Career Programme is designed to help aspiring professionals gain the qualifications, practical experience and support needed to secure their first role in the industry.Whether you're looking for a complete career change, returning to work, leaving the Armed Forces, or seeking a future-proof career, we'll help you build the skills employers need.Please note: this is a self-funded programme costing around £190 per monthHow Our Career Programme Works:Over 100 hours of live instructor-led online training delivered by experienced industry professionalsThree industry-recognised certifications (exam voucher and exam resit support included): Microsoft Power BI Data Analyst (PL-300) Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure AI Fundamentals (AI-901)Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBIDedicated 1-to-1 tutor support throughout your learning journeyCV support, interview preparation, and career coachingAccess to our employer network and recruitment partnersStarting SalariesUpon successful completion of the programme, we guarantee a starting salary of up to £40,000.Who Is This Programme For?This programme is designed for individuals with little or no previous experience. You may be:Looking for a career changeA recent school, college or university leaverCurrently working in another industryLeaving the Armed ForcesInterested in technology and problem-solvingThe most important qualities are a willingness to learn, good communication skills and a genuine interest in changing your career.Please note: this is a self-funded programme costing around £190 per monthOur Job GuaranteeSuccessfully complete the programme and meet the agreed career support requirements, and we guarantee you'll receive a job offer within 6 months . If not, we'll refund 100% of your course fees. Full T&Cs available.Ready to Start Your New Career?Click Apply Now to speak with an Advisor and take the first step towards a rewarding career in one of the UK's fastest-growing sectors.TPBN1_UKTJ

This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back \n Train. Certify. Get Hired. \n AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. \n In todays digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As... \n \n \n ZIPC1_UKTJ

JLL empowers you to shape a brighter way .Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.Electrical EngineerBased - Rotherham, South Yorkshire. S60 (on client site Rolls-Royce)Hours: 40hrs Monday - FridayWhat this job involves :As an Electrical Engineer at JLL, you'll be part of a team that's shaping a brighter way for our client Rolls-Royce and fellow employees. You'll apply your expertise to design, install, and maintain electrical systems in various commercial and industrial settings. We believe in empowering our team members to thrive, and in this role, you'll have the opportunity to innovate and collaborate with colleagues locally and across the globe. Your work will directly impact the comfort and efficiency of our clients' spaces, contributing to JLL's commitment to creating optimal work environments.What your day-to-day will look like:Maintenance, troubleshooting and repair of low voltage electrical systems, including but not limited to lighting, power distribution, fire alarm systems, security systems, emergency lighting, and access control.Testing and Inspection: Conduct regular testing and inspection of low voltage electrical systems to ensure compliance with industry standards, safety regulations, and relevant codes. Complete necessary documentation and reports accurately.Fault Diagnosis and Repair: Identify, troubleshoot, and resolve faults in low voltage electrical systems, using appropriate diagnostic tools and techniques. Carry out repairs and replacements as necessary to ensure uninterrupted functionality.Preventive Maintenance: Carry out planned preventive maintenance tasks to minimize equipment downtime, increase system reliability, and extend the lifespan of low voltage electrical systems. Create and maintain maintenance schedules.Compliance and Safety: Adhere to all health, safety, and environmental policies and procedures. Comply with electrical regulations, codes, and standards to ensure safety and minimize risks. Report any hazards or incidents promptly.Collaboration: Collaborate effectively with other team members, contractors, and clients to achieve project goals and customer satisfaction. Provide guidance and support to junior team members when required. Documentation andReporting: Maintain accurate records of all work performed, including maintenance logs, inspection reports, work orders, and equipment inventory. Ensure that relevant documentation and records are up to date.Requirements:C&G Level 2 and 3 Diploma Electrical Installation (Or Equivalent)C&G 2360 Parts 1 & 2 (Test & Inspection cert preferred)18th editionStrong Electrical & HVAC experienceKnowledge of heating and air conditioning systemsKnowledge of building fabric and experience in carrying out basic fabric reactive repairs when requiredSound understanding and experience of meeting Health & Safety obligations about maintenance activitiesMust be prepared to work out of hours when requiredOn call one in five weeks (allowance paid), JLL transport providedHave good communication and organisation skillsHave a positive 'can do' attitudeMust have a full UK driving licenseAbility to work on own or as part of a teamAt JLL, we embrace more innovative ways of working and prioritise opportunities to strengthen and advance your career within the UK and beyond. We support each other's wellbeing and champion inclusivity and belonging across teams. What sets JLL apart is our culture of collaboration, both locally in the UK and across the globe. Join us in taking the more inspiring, innovative, and optimistic path on our journey toward success as a Electrical Engineer in Rotherham.#LI-DW2Location:On-site -Rotherham, GBRIf this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.JLL Privacy NoticeJones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.For more information about how JLL processes your personal data, please view our Candidate Privacy Statement .For additional details please see our career site pages for each country.Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.TPBN1_UKTJ

.NET Developer, .NET 10.0, C# 14 - Digital Download Site - Sheffield \n (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer)With operations in over 20 countries our client has fast become a major player within the digital download arena. In addition to an award winning website they have launched mobile apps for the iPhone and Android market, the latter of which has been featured on Google Play. They have created a real buzz in the industry have been written up in TechCrunch, The New York Times, The Guardian and many more. They are going through a period of explosive growth and need your help! \n We are seeking gifted .NET Developer to join their close-knit and extremely talented technical team. We are looking for .NET Developer who are ambitious about building a quality service which brings delight to their users. .NET Developer should be experienced in: .NET, .NET Core, C# and Azure SQL. You will be trained in all aspects of: .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Azure, Bootstrap, Agile and MongoDB. Top performers can expect to receive their first promotion (and pay rise) within 6 months. \n Our client offers a unique working environment including a free onsite restaurant, relaxation pods, games room, background music while you work and flexible working hours. \n Location: Sheffield, Yorkshire, UK / Remote Working \n Salary: £45,000 - £65,000 + £10k Sign-On Fee + Bonus \n Applicants must be based in the UK and have the right to work in the UK even though remote working is available. \n Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! \n NOIRUKNETRECNOIRUKREC \n NC/NET/SHEET

AI Engineer / AI Solutions Specialist \n North Sheffield | Hybrid (3 days onsite) | Permanent \n Artificial Intelligence is changing the way businesses operate. This is your opportunity to be the person who helps shape that journey. \n Elevation Tech & Transformation are recruiting an AI Engineer to join a growing manufacturing business that has already begun experimenting with AI and is now ready to take the next step. \n Rather than inheriting an established AI function, you'll have the opportunity to help define it. \n Working closely with IT, Data Operations and stakeholders across the business, you'll build the AI roadmap, identify high-value use cases and deliver practical AI solutions that improve business processes, support decision making and create genuine operational value. \n This is a rare opportunity to influence strategy while remaining hands-on with the latest AI technologies. \n What you'll be doing \n\n • Developing the organisation's AI roadmap and helping shape its long-term AI strategy\n, • Designing and building AI applications, assistants and workflow automation tools\n, • Creating Retrieval Augmented Generation (RAG) solutions using internal business data\n, • Working with stakeholders to identify opportunities where AI can reduce complexity and improve efficiency\n, • Designing scalable AI architecture and governance frameworks\n, • Integrating AI solutions with existing business systems including PostgreSQL, ERP, CRM and Microsoft technologies\n, • Helping introduce AI best practice across the wider technology team through knowledge sharing and collaboration\n\n Current AI projects include \n\n • Replacing an existing rules-based engineering chatbot with an AI-powered assistant\n, • Building AI-powered reporting and analytics capabilities\n, • Creating workflow automation tools\n, • Developing customer-facing AI solutions\n, • Exploring new AI use cases across operations, warranty and aftersales\n\n Current technologies include: \n\n • Python\n, • SQL\n, • OpenAI & Anthropic APIs\n, • N8N\n, • Copilot Studio\n, • PostgreSQL\n, • AWS\n, • Docker & Kubernetes\n\n Experience with AI agents, LLMs, RAG or agentic AI frameworks would be highly beneficial. \n About you \n We're open to different backgrounds. \n You might already be working as an AI Engineer with commercial delivery experience, or you could be an early-career engineer or recent Master's graduate who has built impressive AI projects and is looking for an opportunity to make a real impact. \n Most importantly you'll be someone who is genuinely passionate about AI, enjoys staying on top of emerging technologies and wants to help shape how a business adopts AI over the coming years. \n Strong communication skills are essential as you'll work closely with both technical and non-technical stakeholders across the organisation.Please note this role does not offer sponsorship therefore interested candidates must hold full Right to Work in the UK. This role is site based in North Sheffield 3 days per week, with 2 days from home. \n Why join? \n This isn't a role where you'll inherit someone else's roadmap. \n You'll help create it. \n You'll have the freedom to influence technology choices, shape AI strategy and work with senior stakeholders to deliver solutions that genuinely change how the business operates. \n If you're looking for an opportunity to build something from the ground up while working with modern AI technologies in a supportive environment, we'd love to hear from you.

\n AI Engineer \n Sheffield \n Permanent \n The Role \n As an AI Engineer, you will be responsible for the design, implementation, and ongoing management of AI platforms, intelligent agents, and supporting infrastructure. You'll combine hands-on technical delivery with strategic input, ensuring AI solutions are scalable, secure, and aligned with organisational objectives. \n Key Responsibilities \n AI Platform & Infrastructure \n\n • Design, implement, and maintain enterprise AI infrastructure across cloud and on-premise environments.\n, • Develop scalable architectures for AI workloads, including model hosting, vector databases, orchestration layers, APIs, and data pipelines.\n, • Integrate AI platforms with business-critical systems, data platforms, collaboration tools, and operational applications.\n, • Produce and maintain architecture documentation, operational procedures, and technical standards.\n\n AI Agents & Automation \n\n • Design, develop, and manage AI agents, copilots, and workflow automation solutions.\n, • Build Retrieval-Augmented Generation (RAG) applications leveraging internal business data.\n, • Develop intelligent assistants supporting operational, engineering, customer service, and business functions.\n, • Implement multi-agent workflows and orchestration frameworks.\n, • Monitor and optimise AI solution performance, reliability, security, and cost efficiency.\n\n Governance & Compliance \n\n • Ensure AI solutions align with security, governance, and compliance requirements.\n, • Support data governance, privacy, risk management, and lifecycle policies for AI-enabled systems.\n, • Maintain standards and documentation relating to AI usage, access control, and governance frameworks.\n, • Contribute to responsible AI practices and organisational AI governance initiatives.\n\n Stakeholder Engagement \n\n • Partner with teams across the organisation to identify and prioritise AI opportunities.\n, • Support user adoption, training, and change management activities.\n, • Translate complex technical concepts into clear business language for non-technical stakeholders.\n, • Act as a trusted advisor on AI technologies and best practices.\n\n About You \n Essential Skills & Experience \n\n • Proven experience designing, building, and deploying AI/ML solutions within enterprise environments.\n, • Strong Python development skills.\n, • Experience integrating and consuming REST APIs.\n, • Hands-on experience with Docker and Kubernetes.\n, • Knowledge of vector databases, embeddings, RAG architectures, and LLM orchestration frameworks.\n, • Experience with cloud technologies, networking, identity and access management, and security controls.\n, • Experience integrating AI solutions with Microsoft 365 technologies, collaboration platforms, and SQL-based databases.\n, • Strong experience working within AWS environments and services.\n\n Desirable Experience \n\n • AI governance and responsible AI frameworks.\n, • MLOps and LLMOps tools and methodologies.\n, • Prompt engineering and model fine-tuning.\n, • Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI.\n, • AI orchestration platforms such as n8n or similar technologies.\n, • Knowledge graph technologies.\n, • Data lake and analytics platforms.\n, • Experience supporting organisation-wide AI adoption programmes.\n\n

Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We’re looking for an AI Software Engineer with strong C# .NET experience to join the team and help turn emerging AI capabilities into genuine, production-ready product features. \n This is an ideal opportunity for a developer who combines strong software engineering fundamentals with hands-on LLM experience and enjoys working in an environment where things move quickly. \n You’ll be taking AI concepts from initial idea and experimentation through to fully integrated, evaluated features within established .NET products. \n The Role \n You’ll be responsible for building AI-powered capabilities across the product portfolio, working with LLMs, prompt engineering, context design and structured outputs, while ensuring everything you build is robust enough for production. \n You’ll be expected to prototype quickly, but equally importantly, understand where engineering discipline is essential. That means thinking about accuracy, reliability, latency, cost, monitoring, fallbacks and evaluation rather than simply getting an AI feature to work in a demo. \n You’ll work closely with existing engineering teams, Product Managers, Product Owners and subject matter experts to understand the business problem before deciding on the technical solution. \n Key Responsibilities \n\n • Design and build prompts, context strategies and LLM integrations for real-world product features.\n, • Develop primarily in C# .NET, integrating AI capabilities into established codebases.\n, • Build production-grade AI services with appropriate error handling, fallbacks, monitoring and logging.\n, • Prototype new ideas quickly and turn successful experiments into robust production features.\n, • Develop structured approaches to evaluating LLM outputs, using real business scenarios and measurable results.\n, • Work with LLM APIs across different providers and make pragmatic decisions around quality, cost and latency.\n, • Use AI coding tools such as GitHub Copilot, Cursor or equivalent as part of your day-to-day development.\n, • Work alongside existing engineering teams to ensure your solutions fit established coding standards, architecture and deployment pipelines.\n, • Keep pace with the rapidly changing AI ecosystem and share new approaches and learning with colleagues.\n, • Work with Product and subject matter experts to understand the underlying business problem rather than simply responding to a technical requirement.\n, • Ensure AI features are developed with appropriate consideration for accuracy, safety and data handling.\n\n Skills and Experience Required \n You'll need to be a strong software engineer first and foremost, with genuine commercial experience building with AI. \n We're particularly interested in people who can demonstrate: \n\n • Strong commercial C# .NET development experience, ideally working within established and potentially long-lived codebases.\n, • Hands-on experience building applications using Large Language Models, beyond tutorials or experimentation.\n, • Strong knowledge of prompt engineering, context engineering and structured outputs.\n, • Experience taking ideas from concept through to working software quickly.\n, • Experience evaluating or testing LLM outputs using structured approaches, datasets or real-world business scenarios.\n, • Daily experience using AI-assisted development tools such as GitHub Copilot, Cursor or similar.\n, • A pragmatic approach to software engineering – knowing when to move quickly and when production quality cannot be compromised.\n, • The ability to understand and articulate the business problem behind the technology you're building.\n\n It would be advantageous if you also have experience with: \n\n • RAG (Retrieval-Augmented Generation)\n, • Agentic workflows and tool use\n, • Vector databases/search and embeddings\n, • LLM APIs from multiple providers\n, • AI evaluation frameworks and automated quality pipelines\n, • Modernising or extending long-established software platforms\n, • SaaS environments\n, • Distributive trades, rental, retail, automotive aftermarket or garage management\n\n This isn't a role where you'll spend months working on theoretical AI projects that never reach customers. \n You'll have the opportunity to build, ship and see your work used in real products. The expectation is that successful ideas can move from concept to production in weeks, while still meeting the standards expected of business-critical software. \n You'll also have the opportunity to influence how AI is adopted across the wider engineering organisation, sharing your knowledge and helping other developers understand what genuinely works. \n Within your first six months, you'll ideally have: \n\n • Shipped an AI capability into an established product with meaningful evaluation behind it.\n, • Taken an AI idea from concept to customers within weeks rather than quarters.\n, • Used evaluation data to influence product or technical decisions – including being prepared to stop something that simply isn't good enough.\n, • Introduced new AI development techniques that other engineers have adopted.\n, • Demonstrated a clear understanding of the commercial problem you're solving, not just the technology you're using.\n\n If you're a C# .NET developer who is already building with LLMs and wants to work somewhere that is genuinely putting AI into production, we'd be very interested in hearing from you. \n Apply now or contact Apache Associates for a confidential discussion.

Apache Associates are working with an ambitious SaaS organisation that is investing heavily in AI across its products and engineering function. We’re looking for a Senior Applied AI Engineer to take a leading role in turning AI capabilities into genuinely useful, production-ready solutions. \n This is a senior, hands-on position for someone who is as passionate about building with AI as they are about helping other engineers get better at it. \n You’ll be responsible for designing and refining prompts, context strategies and agentic workflows, while also establishing best practice around evaluation and AI-assisted development across a large engineering organisation. \n The Role \n This isn't simply an AI engineering role focused on building individual features. You'll become a key technical voice for how AI is used across the wider R&D organisation. \n You'll work closely with engineers, architects, product teams and subject matter experts, helping teams understand where AI can genuinely add value and, equally importantly, where it shouldn't be used. \n A major part of the role will be raising the capability of other engineers through coaching, pairing, workshops, knowledge-sharing and reusable tools and resources. \n Key Responsibilities \n\n • Design, build and refine prompts, context strategies and agentic workflows for real-world AI product features.\n, • Develop robust approaches to evaluating LLM outputs, using real business cases and measurable quality standards.\n, • Work across multiple LLM providers and models, making pragmatic decisions around quality, cost and latency.\n, • Work closely with Product Managers, Product Owners and subject matter experts to understand the underlying business problem before designing the AI solution.\n, • Coach and mentor engineers across multiple teams, helping them get significantly more value from LLMs and AI coding tools.\n, • Run pairing sessions, technical reviews, workshops and one-to-one coaching.\n, • Build and maintain reusable prompt patterns, templates, evaluation harnesses and internal guidance.\n, • Establish and lead an internal AI community of practice where engineers can share successes, failures and lessons learned.\n, • Define what "good" looks like for prompting, context engineering and evaluation across R&D.\n, • Keep those standards current as models, providers and AI tooling evolve.\n, • Provide engineering leadership with measurable evidence of where AI is delivering genuine value.\n, • Act as a constructive challenger when an AI solution looks impressive in a demo but isn't robust enough for production.\n, • Promote high standards around accuracy, safety and data handling.\n, • Help engineers working within established and legacy codebases adopt AI tooling effectively, rather than focusing solely on greenfield development.\n, • Potentially represent the organisation externally through talks, articles or open-source contributions.\n\n Skills & Experience Required \n This role requires someone who is an engineer first, with substantial practical experience applying AI in real-world software environments. \n We're particularly interested in people who can demonstrate: \n\n • Several years of experience building and shipping production software.\n, • Significant hands-on experience working with Large Language Models in commercial environments.\n, • Strong experience with prompt engineering, context engineering and structured outputs.\n, • Experience building evaluation frameworks, test harnesses or datasets for LLM outputs.\n, • Evidence of using evaluation and data to measurably improve AI quality.\n, • A proven ability to mentor, coach and develop other engineers.\n, • Experience delivering internal training, workshops, communities of practice or similar knowledge-sharing initiatives.\n, • Daily experience with AI development tools such as GitHub Copilot, Cursor or equivalent.\n, • A pragmatic understanding of both the strengths and limitations of AI coding tools.\n, • The confidence to challenge assumptions and use evidence rather than hype to determine whether an AI approach is actually working.\n\n It would be advantageous if you have experience with: \n\n • RAG (Retrieval-Augmented Generation)\n, • Agentic workflows and tool use\n, • Fine-tuning\n, • Vector search and embeddings\n, • Retrieval pipelines\n, • LLM orchestration frameworks such as LangChain, Semantic Kernel or equivalents\n, • Multiple LLM providers and an understanding of their respective strengths and weaknesses\n, • Automated test suites and evaluation datasets for AI outputs\n, • AI adoption within established or legacy codebases\n, • SaaS environments\n, • Distributive trades, rental, retail, automotive aftermarket or garage management\n, • Public speaking, technical writing or open-source contributions\n\n This is a genuinely influential opportunity within an organisation that is embracing AI at pace. \n You'll have the opportunity to influence not just what AI features get built, but how an entire engineering organisation approaches AI. \n You'll be working across multiple engineering teams, helping establish reusable practices and standards rather than solving the same problems repeatedly. \n The successful candidate will be someone who enjoys seeing other engineers improve because of their coaching and guidance, and who gets as much satisfaction from spreading good practice as they do from solving the original technical problem. \n You'll be curious, pragmatic and technically rigorous, but also someone who genuinely enjoys helping others. \n You're comfortable working with engineers at very different levels of AI experience – from enthusiastic early adopters to people who remain sceptical about the technology. \n You won't be someone who believes AI is the answer to everything. Instead, you'll be interested in understanding where it genuinely creates value, proving that through evidence and helping others apply it effectively. \n If you're an experienced software engineer who has moved beyond experimenting with AI and is now building with LLMs in the real world – while helping other engineers do the same – we'd love to hear from you. \n Apply now or contact Apache Associates for a confidential discussion.

• We are accepting applications from varying seniority levels, from Graduate to Principal Engineer, and will adjust terms accordingly. About Amodo\n Amodo is a hardware engineering company building the 21st century's most important technologies. Our team of mechanical, electronic, firmware, and software engineers are trusted by world-leading startups, universities, governments and philanthropists to solve pressing technical challenges. See who they are on our website - including MIT, Cambridge, Oxford, Imperial, ARIA and Rand Corp. \n We are selective in the projects we take on and proactive in seeking out where our exceptional engineering teams can make the most impact. We believe in differential technology development: deliberately accelerating safety-enhancing technologies to ensure human flourishing. Not every technology is inevitable – rather, the market fails to incentivise key domains. We work in these areas. What do we do?\n At Amodo you will work with a world class team to create some of the most important technologies of our time. We focus on high speed development and real world impact, making sure we’re continually delivering tangible, concrete progress across the board. You will see your designs manufactured and distributed globally, your research inform policy, and you will support multi-million pound projects. \n We’re currently focused on four key fields: AI safety, biosecurity, humane tech, and accelerating science (developing the hardware tools that scientific breakthroughs require, but don't yet exist). In addition to client work, we want to bring our inventions into the world as spin-out companies, open-source projects, and products. We're actively hiring people to take charge of making this happen. \n New invention & new research - We design and build new products, equipment, and tools. Invention and rapid iteration are core to our DNA. We use these new inventions and our experience to perform new research and push boundaries. \n More products than powerpoints - Common failure modes of today’s consultancies include risk aversion, theatre for clients, and misrepresentation of what is important in projects. We reject this approach. We’re here to do truth-seeking, progress-optimising engineering, not to make slide decks. \n Work that matters - Unlike many consultancies we also get involved at the pre-product stage. Our experience in industry and biotech puts us in the position to run feasibility studies for new and existing companies. This research-heavy work can include literature reviews, feasibility modelling and market research. A bit on our culture and what it would look like to work here:\n\n • Our values: Truth-seeking, excellent, enthusiastic, kind, humble, and always learning\n, • Our approach: We think before diving in, iterate fast, and focus on the highest-impact 80/20 work. We favour rapid experimentation, quick feedback loops, and sprinting to "something that works" rather than over-planning.\n, • Feedback culture: We practice radical candor, which means being clear and direct while staying kind, and welcoming feedback at every level\n, • No "not my job"-ism: If we see something wrong, we fix it. If your part of a project is going great and another is struggling, don't settle for polishing a chunk of a struggling ship\n, • Socials: Table tennis every lunch, personal project evenings, pub trips, trail running club, and more\n, • Office: Spacious, modern space in central Sheffield, with parking and bike storage. In-house workshop and equipment for our mechanical and electrical work.\n, • Project structure: You will generally be on 1 main project at a time, whilst supporting on 1-2 smaller projects. Team sizes vary from 2-10+ engineers, where most are ~4. Durations largely are within the 2 - 8 months range.\n, • Project variety: We get to work on loads of super varied, technically complex and interesting projects, from drone mounted laser holography for climate-tech to next-gen motors.\nAbout you\n We value drive, culture fit, and a track-record of engineering excellence and above all else, but the below competencies, interests, and attributes are extremely desirable: \n\n • Strong background in electronic design - component selection, schematic design, PCB layout, and component procurement\n, • Experience with hand THT and SMD PCB assembly and modifications\n, • Circuit inspection and debugging using oscilloscopes and logic analysers\n\n Alongside the above, the below competencies will strengthen an application: \n\n • Producing embedded firmware (C/C++)\n, • Familiarity with mechanical design\n, • SPICE and/or RF simulation experience\n, • Experience balancing functional electronic design requirements with additional constraints (such as thermal, mechanical, and power requirements etc.)\n, • An eye for beautiful and practically achievable design\n\n We’ve doubled year on year since our founding in 2023, and we aim to do so again in 2026. That means we're actively hiring across electronics, FPGA, mechanical, firmware, software, physics, HPC infrastructure, and DevOps - plus exceptional talent in any discipline. If you're an ambitious top performer, engineering or otherwise, please fill in our form linked. Benefits\n\n • Free lunch every day\n, • Flexible hybrid working\n, • Flexible working hours\n, • 35 days holiday (including bank holidays)\n, • We can pay your professional registration and institution fees\n, • Relocation assistance may be negotiated\n, • £300 annual personal project budget with weekly maker evenings (tools, pizza and support provided)\n\n To let you know a bit more about what to expect, our core interview process is as follows. We may occasionally include 1-3 additional stages, including aptitude tests or video calls with one of our founders. \n\n • 15 minute technical screening interview\n, • 1 hour technical interview\n, • 1.5 hour in-person interview\n, • Offer\n

AI Engineer / AI Solutions SpecialistLocation: SheffieldHybridType: Permanent \n Shape the Future of AI in a Growing BusinessAn exciting opportunity has arisen for an AI Engineer / AI Solutions Specialist to join a well-established business embarking on its AI journey.This is a unique chance to become the organisation's first dedicated AI hire, taking ownership of how AI is implemented, governed and adopted across the business. You'll work closely with IT, business stakeholders and senior leadership to identify opportunities for AI-driven innovation, build practical solutions and help establish a long-term AI roadmap.This role would suit someone who enjoys combining hands-on technical delivery with stakeholder engagement and is excited by the opportunity to build AI capability from the ground up. \n What You'll Be Doing \n\n • Design, develop and deploy AI-powered solutions across the organisation.\n, • Build AI assistants, copilots, intelligent automation tools and knowledge management solutions.\n, • Develop Retrieval-Augmented Generation (RAG) solutions using internal business data.\n, • Create scalable AI architectures and support the ongoing management of AI platforms and infrastructure.\n, • Integrate AI solutions with business-critical systems, including Microsoft 365, SharePoint and other enterprise applications.\n, • Work with stakeholders across the business to identify opportunities for automation and AI adoption.\n, • Ensure AI solutions operate in line with security, governance and compliance requirements.\n, • Monitor performance, usage, reliability and cost of deployed AI solutions.\n\n What We're Looking For \n\n • Commercial experience building and deploying AI or Machine Learning solutions.\n, • Strong Python development skills.\n, • Experience working with REST APIs and systems integration.\n, • Knowledge of LLMs, RAG architectures, vector databases and modern AI frameworks.\n, • Experience with AWS cloud services and infrastructure.\n, • Familiarity with Docker and Kubernetes.\n, • Experience integrating AI solutions with Microsoft technologies such as Microsoft 365, SharePoint or Teams.\n, • Strong communication skills and the ability to work with both technical and non-technical stakeholders.\n\n Desirable Experience \n\n • AI governance and responsible AI practices.\n, • MLOps or LLMOps environments.\n, • Agentic AI frameworks such as LangGraph, CrewAI or AutoGen.\n, • AI orchestration tools such as N8N.\n, • Data governance and Microsoft Purview.\n, • Prompt engineering and model fine-tuning.\n\n Why Apply? \n\n • Opportunity to become the first dedicated AI specialist within the business.\n, • Significant autonomy and ownership.\n, • Ability to shape AI strategy and influence future technology direction.\n, • Broad exposure across technical delivery, stakeholder engagement and innovation.\n, • Chance to make a visible impact through the adoption of AI solutions across the organisation.\n\n Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Trainee AI Engineer – No Experience Needed \n Future-proof your career in Artificial Intelligence – starting today. \n Looking 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 Train online at your own pace and land your first AI Engineer role in 1-3 months. \n Please note this is a training course and fees apply \n Job guaranteed - complete the programme and get a job or get your money back. \n Our candidates earn £28,000-£45,000. \n \n Why AI? \n AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. \n The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. \n \n How It Works \n Step 1 – AI Engineering Fundamentals \n Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. \n Step 2 – Data Fundamentals \n Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. \n Step 3 – Notebooks & IDEs \n Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. \n Step 4 – Python Programming \n Master Python, covering everything from the basics to object-oriented programming (OOP). \n Step 5 – Python Streamlit Project \n Apply your Python skills by building a car price prediction app using Python and Streamlit. \n Step 6 – Python for Data \n Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. \n Step 7 – AI Sentiment Analysis Project \n Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. \n Step 8 – AI Prompt Engineering \n Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. \n Step 9 – Retrieval-Augmented Generation (RAG) \n Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. \n Step 10 – AI Specialised Customer Service Chatbot Project \n Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. \n Step 11 – Machine Learning Fundamentals \n Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. \n Step 12 – Machine Learning Project \n Put your machine learning knowledge into practice with a hands-on project. \n Step 13 – AI & Data Ethics \n Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. \n Step 14 – Oral Exam \n Complete a virtual oral exam to assess your understanding and ability to apply your learning. \n Step 15 – AWS Certified Cloud Practitioner \n Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. \n \n What You Get \n · 100% online, self-paced training \n · Microsoft AI-900 certification included \n · 1-to-1 tutor and recruitment support \n · Real-world project experience \n · Job guarantee – get a job or your money back \n · Starting salary of £28,000–£45,000 \n \n We Get You Hired \n We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. \n Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. \n We 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 "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 \n Ready to Start? \n If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. \n Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. \n

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Alternatively, Grant ThorntonAt Grant Thornton we do things differently - looking to the future, driving ambitious growth and pioneering positive change in our industry. Providing audit, tax and advisory services, we empower clients through strategic insight, curiosity, and genuine partnership. And we empower our people with real opportunity, an inclusive culture and work life balance. A true alternative. With over 5,000 people in the UK, and a presence in 150 global markets, we're on an ambitious journey, from great to exceptional, and we need the best people to help us achieve our potential. And with that comes the opportunity to help redefine what our industry looks like, and what you want from your career. Job Description:MORE THAN YOU EXPECTED Grant Thornton UK LLP is part of a global network of independent audit, tax and advisory firms, made up of some 58,000 people in over 135 countries. We're a team of independent thinkers who put quality, inclusion and integrity first. All around the world we bring a different experience to our clients. A better experience. One that delivers the expertise they need in a way that goes beyond. Personal, proactive, and agile. That's Grant Thornton.NEW GROUND WON’T BREAK ITSELF. Every day our teams help people in businesses and communities to do what is right and achieve their goals.We're hiring Senior Engineers into our team, based in the North of England. You'll be a hands-on individual contributor, enabling our client facing teams, building real solutions that create measurable value, concentrating your engineering effort on solving in our GenAI platform, or building around and outside it when needed.We’re happy to talk flexible working and consider reduced hours and job shares, we’ll support you to balance your work and life.A look into the role As a Senior Engineer within our CAS practice:You'll work within a forward deployed engineering team or a delivery pod aligned to one of our service lines, alongside a product manager and under the technical direction of a Lead Engineer. The work spans the full stack of what engineering needs to do around a GenAI platform: solving problems natively, backend plumbing, API integrations, MCP server builds, and data connections.Working in our GenAI platform doesn't always mean writing code. Often it means applying engineering judgement to solve problems natively, designing the right architecture, the right integration, the right data flow, directly within the platform itself. Knowing which mode the problem calls for is part of the craft here.At Senior Engineer level, you'll own your delivery end-to-end. You translate business need into solutions and technical design, and work individually or as part of the team to solve those in the best way at pace.You're fluent across AI-native engineering from building natively in the platform, using AI tooling to accelerate your own craft, and taking coalface experiments through to production-grade operationalised solutions.At Senior Engineer level, that fluency is already there and you apply it independently.Knowing you’re right for us Joining us as a Senior Engineer, the minimum criteria you’ll need isAt Senior Engineer level you have a track record of owning delivery end-to-end in a team-based model. You've shipped production software and can speak to the decisions you made. You have real depth in backend and integration engineering using Python or C# .Net, and genuine judgement about when to solve natively in the platform and when bespoke engineering is the right call. It would be great if you had some of the following skills, but don’t worry if you don’t tick every box, we’ll help you develop along the way.Across both levels familiarity with Azure and Microsoft 365 is an advantage. Hands-on experience with LLM integration patterns, MCP tooling, and AI-enabled or agentic development environments is genuinely valued.AI and LLM experience - you're comfortable using GenAI tools such as Copilot, Claude or ChatGPT.Knowing we’re right for youEmbracing uniqueness, the culture at Grant Thornton thrives on the contributions of all our people, we never settle for what is easy, we look beyond to deliver the right thing, for everyone. Building an inclusive culture, where we value difference and respect our colleagues helps our people to perform at the best of their ability and realise their potential.Our open and accessible culture means you’ll interact with leaders who are interested in you and everything you bring to our firm. The things that set you apart, we value them. That’s why we give you the freedom to bring your whole self to work and pursue your passions inside and outside of work.Beyond the job Life is more than work. The things you do, and the people you’re with outside of work matter, that’s why we’re happy to look at flexible working options for all our roles, and we’ll always do our best to keep your work and life in balance.The impact you can make here will go far beyond your day job. From secondments, to fundraising for local charities, or investing in entrepreneurs in the developing world, you’ll be giving back to society. It’s that drive to do the right thing that runs through our every move, grounded in our firm’s values – purposefully driven, actively curious and candid but kind.We’re looking for people who want to contribute, spark fresh ideas and go beyond expectations. People who want to be able to proudly do what’s right, for the firm, our clients, our people and themselves. It’s how it should be.#LI-SB1SummaryLocation: Leeds; Manchester; SheffieldType: Full time

Job Summary \n We are seeking an experienced AI Engineer with expertise in Retrieval-Augmented Generation (RAG) to design, develop, and deploy enterprise-grade Generative AI solutions. The ideal candidate will have hands-on experience building LLM-powered applications, vector databases, semantic search systems, prompt engineering, and end-to-end RAG pipelines. \n \n\n • Strong proficiency in:\n, • Python\n, • REST APIs\n\n

AI Engineer Placement Programme no experience neededFrom £45,000 to £75,000 per annumAI Trainee Engineer £45,000£75,000 Job ProgrammeThis is a self-funded programme that leads to employment, fees apply.Job Guarantee Complete the programme and get a job, or get your course fees back.Location: UK Wide (Remote Opportunities Available)Looking to start a career in AI Engineering?We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK.No prior experience required.Train online at your own pace and become job-ready in as little as afew weeks.Our programme includes:Official AWS Certified Cloud Practitioner certificationTraining in Python, Machine Learning, and AI systemsHands-on projects using real-world AI tools and technologiesProfessional CV and LinkedIn supportInterview preparationDedicated recruitment support until placedPersonalised 1-1 tutor supportHands-on projects to build your AI portfolioFlexible, affordable, achievableTo make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure.Salary expectations:AI Engineer: £45,000 £60,000Machine Learning Engineer: £60,000 £75,000Progression into senior AI roles with higher earning potentialWe support you into employmentWe focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles.From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role.Important:Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request.Apply now to get started.TPBN1_UKTJ

This is a hands-on, high-agency role for engineers who want to work at pace, across the full AI and software stack, and in service of one of the most complex and vital systems in the country. Following sift, candidates who meet the required standard will be invited to take part in a two-stage assess

We have an exciting opportunity for a Dynamics 365 CRM Engineer to play a key role in delivering the COMET CRM transformation programme. They will design, develop, and deploy a scalable Microsoft Dynamics 365 and Power Platform solutions, with a strong focus on DevOps, automation, and enterprise-grade ALM.The ideal candidate will have a deep technical expertise, hands-on development capability, and experience driving CI/CD and release processes across complex environments.UK home basedCandidates should be eligible for SC clearanceAt Capita, we live by our values: ð Customer First, Always; ð§‍ð» Fearless Innovation; Achieve Together; ð Everyone is Valued. These guide how we work, collaborate, and deliver exceptional results.Job title:Dev Ops EngineerJob Description:What you will do:End-to-end delivery of Dynamics 365 CRM solutions across the full software lifecycleDesign and implement scalable, secure, and high-performing CRM architecturesOwn and manage Azure DevOps pipelines, ensuring robust CI/CD practicesAutomate build, test, and deployment processes across multiple environmentsManage solution lifecycle including versioning, patching, and release governanceCollaborate with architects, business analysts, and stakeholders to define technical solutionsProvide technical leadership and mentoring to development teamsEnsure adherence to DevOps, ALM, and coding best practicesTroubleshoot and resolve complex technical and deployment issuesWhat we are looking for:Dynamics 365 CRM (Senior-Level Expertise)Extensive experience with Microsoft Dynamics 365 CE (Sales, Customer Service, etc.)Advanced customization and configuration: Entities, forms, views, dashboardsBusiness rules, workflows, business process flowsStrong development experience: C# plugins and custom workflow activitiesJavaScript / TypeScriptDataverse Web API / SDKDeep understanding of: Solution management (managed/unmanaged)Solution layering, segmentation, and version controlPower PlatformExpertise in: Power Apps (Model-driven and Canvas apps)Power Automate (complex flows and orchestration)Power Pages (portal design, authentication, and security models)Strong Dataverse data modelling and governance experienceAzure DevOps & CI/CDExtensive hands-on experience with Azure DevOps: Repos, Boards, Pipelines, and ArtifactsDesign and maintenance of YAML-based pipelinesExperience running and optimising pipelines, including: Build automationRelease pipelinesMulti-stage deploymentsImplementation of CI/CD for Dynamics 365 solutions using: Power Platform Build ToolsPAC CLIALM (Application Lifecycle Management)Strong experience implementing Azure DevOps ALM strategies: Branching strategies (e.g., GitFlow)Environment strategies (Dev, Test, UAT, Prod)Automated solution promotion across environmentsDependency and release management best practicesBuild, Release & AutomationAutomating: Solution export/importEnvironment provisioningConfiguration/data migrationManaging deployment pipelines with approvals and rollback strategiesExperience with configuration migration and data seedingData & IntegrationStrong knowledge of: Dataverse architecture and data modellingData migration strategiesIntegration experience using: REST APIs and web servicesAzure services (Functions, Logic Apps, Service Bus)Understanding of security, compliance, and access controlQuality, Testing & MonitoringExperience with: Automated testing approaches (unit/UI testing)Pipeline monitoring and troubleshootingPerformance tuning and optimisation of CRM solutionsLeadership & CollaborationProven ability to lead technical design and deliveryStrong stakeholder engagement and communication skillsExperience mentoring developers and promoting DevOps cultureDesirable SkillsMicrosoft certifications (PL-600, PL-400, AZ-400)Experience with Power BI integrationFamiliarity with infrastructure-as-code (ARM/Bicep)Exposure to AI Builder / Copilot capabilitiesJoin Capita – Where Innovation Meets OpportunityCapita is a dynamic leader in consulting and digital services, helping some of the UK’s most recognized organizations transform and thrive. We use cutting-edge technology and fearless innovation to create smarter, more efficient solutions that make a real difference. Our work spans diverse sectors—government, healthcare, education, and finance—offering you the chance to contribute to projects that impact millions of lives. At Capita, you’ll be part of a collaborative, forward-thinking team that values creativity, growth, and inclusion.We’re committed to your development and success, providing opportunities to learn, progress, and shape better outcomes for customers and communities. If you’re ready to make an impact and grow your career, Capita is the place for you. Check out our website What’s in it for you?💻 UK home based💰 Competitive salary🌴 23 days’ holiday, rising to 27 (pro rata) – plus the option to buy more after qualifying period️ Paid volunteering day with a charity of your choice🍼 Generous family leave policies – including 15 weeks’ fully paid maternity, adoption, and shared parental leave🚴‍️ Cycle2Work scheme, pension, life assurance, and moreWhat we hope you’ll do next:Choose ‘Apply now’ to fill out our short application, so that we can find out more about you.We are committed to building a workforce that reflects the diversity of the communities we serve. As part of our strategic goals, we are focused on accelerating gender and ethnic representation in leadership roles. We warmly encourage applications from women and individuals from Black, Asian, and other ethnic minority backgrounds.We’re an equal opportunity and Disability Confident employer, which means we recruit and develop people based on their merit and passion. We’re committed to providing an inclusive, barrier-free recruitment process and working environment for everyone. If you need the job description or application form in an alternative format (such as large print or audio), or if you’d like to discuss other changes or support you might need going forward, please email reasonableadjustments@capita.com and we’ll get back to you. For more information about equal opportunities and process adjustments, please visit the Capita Careers website.Location:Sheffield - Hartshead House, Cutlers Gate,United KingdomTime Type:Full timeContract Type:PermanentSummaryLocation: Sheffield - Hartshead House, Cutlers GateType: Full time

TESTQ Technologies Limited is seeking an AIOPS Engineer with Python and Azure expertise to design, develop, and deploy AI-powered applications and services.

Training in Python, Machine Learning, and AI systems. AI Trainee Engineer – £45,000–£75,000 – Job Programme. We focus on outcomes, not just training.

AI Trainee Engineer – £45,000–£75,000 – Job Programme.This is a self-funded programme that leads to employment, fees apply.Complete the programme and get a job, or get your course fees back.Looking to start a career in AI Engineering?.We are offering a structured pathway into AI Engi

Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products.AI Software Engineer with strong C#.AI capabilities into genuine, production-ready product features.This is an ideal opportunity for a developer who combines.You’ll be t

TQUSI0838_5778 - AIOPS Engineer with Python Azure. Python programming to implement scalable AI models and automation workflows. Develop and maintain AI models using Python and Azure Cognitive Services.

Senior Software EngineerThe Team + The RolePendo's engineering teams build the product experiences that help customers understand, improve, and act on product usage data. This team is focused on AI-powered features that turn raw usage signals into automatic, actionable suggestions, reducing the manual work customers need to do before they can get value from Pendo.As a Senior Software Engineer, you will help shape and ship intelligent product experiences from discovery through delivery. You will work full-stack with a lean toward frontend, using TypeScript, Vue.js, backend services, and AI coding tools to build high-quality features on a small, fast-moving team. This role also owns product judgment: validating problems with customers, sizing opportunities, defining success metrics, and making pragmatic tradeoffs in ambiguous spaces.This role is based in our Sheffield office.What this looks like day-to-dayAI-powered feature delivery: Build and ship features that use AI to turn product usage data into actionable suggestions for customers. You will work end to end across the experience, with attention to quality, usability, and the unique failure modes of AI-backed products.Full-stack engineering: Own delivery across the frontend and backend, with a strong lean toward TypeScript, Vue.js, DOM-level work, component architecture, and in-browser data capture. You will reason about backend services and APIs while building polished, reliable customer-facing experiences.Product discovery: Help validate problems, shape scope, and test direction before and while building. You will join customer calls, test prototypes, and use real feedback to make sure the team is solving meaningful problems.Success metrics and iteration: Define what success looks like for the features you build and use product usage data to guide iteration. You will not just close tickets; you will measure whether the work is creating the intended customer impact.AI-enabled development: Use AI coding tools such as Cursor and Claude Code as a core part of your daily workflow. You will apply strong engineering judgment, review rigor, and accountability to AI-generated code just as you would to your own.AI product quality: Ship AI-backed features with careful attention to latency, hallucination, inconsistent output, and user trust. You will help ensure intelligent experiences are useful, understandable, and reliable for customers.Cross-functional collaboration: Work directly with product, design, and fellow engineers in a small team where ownership and leverage matter. You will help make pragmatic tradeoffs against ambiguous, fast-moving requirements instead of waiting for a fully defined spec.Engineering standards: Raise the quality of the team through code review, mentorship, and unblocking teammates. You will communicate clearly, share context, and help others grow while keeping delivery moving.Who You AreBeyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.You're a builder, not a maintainer.You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Software Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.You're AI-curious - genuinely.You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.Must-havesHands-on experience building with LLMs and AI agents, whether through production work or personal projects. You have built something with these technologies, not just used them as tools.Full-stack engineering experience with a frontend lean, including strong TypeScript skills, comfort working with the DOM, and the ability to reason about backend services.3+ years of experience building and scaling web applications.Strong product judgment, including comfort owning ambiguous problems, shaping scope, and making decisions without a fully specified brief.Experience defining success metrics for a feature and iterating based on real usage data.Experience engaging directly with customers or end users to validate problems and assess impact after launch.Strong grasp of software architecture, design principles, and API development.Clear communication skills and the ability to mentor others, unblock teammates, and support the growth of the engineering team.Nice-to-havesExperience working as, or closely alongside, a product manager, including writing specs, prioritizing a roadmap, or running discovery.Familiarity with product analytics tools such as Pendo, Amplitude, or Mixpanel to measure feature impact.Experience designing or running experiments, including A/B tests or betas, to validate product decisions.Experience with browser DOM inspection or automation.Familiarity with Model Context Protocol or building tools for LLM agents.Familiarity with real-time data pipelines or streaming architectures.Accessibility experience.Passion for continuous learning and sharing insights with the team.About PendoPendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.Compensation: The expected salary range for this role to be performed in Sheffield, United Kingdom is 60,000 - 78,000.Benefits: Comprehensive, top-tier coverage in the United Kingdom, including medical, dental, and life coverage, combined with pension match, equity, and high-value lifestyle perks.EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. AI Engineer: £45,000 – £60,000. Machine Learning Engineer: £60,000 – £75,000.

AI Trainee Engineer – £45,000–£75,000 – Job Programme. Training in Python, Machine Learning, and AI systems. Progression into senior AI roles with higher earning potential.

Test Triangle is seeking a highly experienced Lead AI Platform Engineer to drive the engineering and implementation of AI capabilities within a Finance AI platform. This hands‑on technical leadership role focuses on establishing scalable AI engineering patterns, accelerating delivery, and mentorin

Experience: 2–4 years of experience as a Data Scientist, Machine Learning Engineer, or Quantitative Analyst. Collaborative AI Deployment: Work alongside the Data Analyst to feedback model metrics, track algorithmic prediction drift, and safely surface model confidence scores to executive decision-

This mid-senior level role involves building production-ready models for content extraction from varied sources. Candidates should have strong experience in document AI and Python, along with knowledge of frameworks like TensorFlow and PyTorch.

Qualient Technology Solutions UK Limited is seeking a Senior Quality Engineer focused on QA automation and AI testing to join our cloud security and IAM initiatives in the United Kingdom.

Autodesk is seeking a talented frontend software engineer to build world‑class web applications for construction efficiency. Collaborate with product, design, and engineering teams, write clean code, test with Jest and Cypress, and contribute to continuous improvement and agile ceremonies.

Amododesign, a leading hardware engineering company based in Sheffield, seeks an Operations Engineer to design and implement AI-assisted systems improving R&D processes. The ideal candidate has a strong engineering background, proficiency in software development, and experience in manufacturing.

Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Strong knowledge of Kubernetes, Microservices, APIs, Event-Driven Architecture, and DevOps practices. Hands-on experience with LLM integration, RAG architectures, AI orchestration frameworks, an

The position requires experience in automated testing, QA engineering, and building scalable testing frameworks utilizing AI-powered tools. Ideal candidates have strong programming skills in Python and proven abilities to enhance testing workflows. The role involves designing test suites and mentori

Autodesk is seeking a skilled frontend engineer to join the Interactive Graphics Solutions group in the United Kingdom. You will build scalable web applications used by construction teams to improve efficiency and reduce waste, collaborating with product managers, UX designers, and engineers across

APIs into developer/DevOps workflows. Ability to support GenAI-enabled engineering practices (e. Enable and operationalise GenAI/LLM-based tooling in the DevOps toolchain (where approved), including secure access, environment configuration, and integration into CI/CD workflows.

We are seeking a highly experienced Lead AI Platform Engineer to drive the engineering and implementation of AI capabilities within a Finance AI platform. This is a hands‑on technical leadership role focused on establishing scalable AI engineering patterns, accelerating delivery, and mentoring dev

Req ID: 382827Competitive salary | UK: Ideally hybrid: remote + SheffieldAt NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.NTT DATA is currently looking for an IBMz/OS Integration Consultant (ideally hybrid: remote + Sheffield) for our growing team in the UK.Role overviewAs an IBM z/OS Integration Engineer, you will design, configure, and support enterprise integration solutions that connect distributed applications with core banking services running on IBM z/OS. Leveraging integration middleware and technologies such as IBM MQ, CICS, DB2, and API-enabled services, you will deliver secure, resilient, and high-performing integration solutions that meet business and technical requirements. Working within a global engineering team, you will contribute to modern API-driven integration strategies, troubleshoot complex issues, and drive continuous improvements across enterprise integration platforms.In this Role, You willDesign, build, and support enterprise integration solutions across IBM z/OS environments.Configure, maintain, and optimize integration middleware supporting business-critical services.Deliver secure, scalable, and resilient integration solutions that meet functional and non-functional requirements.Collaborate with application teams, architects, and infrastructure teams to define integration designs and technical solutions.Implement and support API-based integrations between distributed systems and mainframe applications.Investigate and resolve complex production incidents and integration issues.Analyse application flows and troubleshoot end-to-end integration challenges.Produce technical documentation, solution designs, and operational support procedures.Support modernization initiatives and continuous improvement of enterprise integration platforms and engineering standardsRequired QualificationsStrong experience developing or supporting applications on IBM z/OS.Good understanding of CICS, DB2 and COBOL.Hands-on experience with IBM MQ messagingKnowledge of REST APIs,enterprise integration principles, and API integration frameworks such as z/OS Connect EE.Understanding of synchronous and asynchronous integration patterns.Experience implementing secure and resilient integrations between distributed and mainframe applications.Experience with source management and service management tools such as Endevor, Jira, and ServiceNow (SNOW).Strong troubleshooting, analytical, and problem-solving skills.Excellent written and verbal communication abilities.Desired QualificationsExperience with monitoring and diagnostic tools such as OMEGAMON, Fault Analyzer, and dump analysis.Knowledge of workload scheduling tools such as TWS (Tivoli Workload Scheduler).Experience working in Agile delivery environments.Banking or Financial Services industry experience.Exposure to enterprise architecture, integration governance, and API management platforms.Mainframe modernization and cloud integration experience would be advantageousPrimary SkillsetIBM z/OSIBM MQCICSDB2COBOLz/OS Connect Enterprise Edition (EE)REST APIsEnterprise Integration ArchitectureMainframe IntegrationProduction Support & TroubleshootingIntegration MiddlewareSecondary SkillsetEndevorJiraServiceNow (SNOW)OMEGAMONFault AnalyzerDump AnalysisTivoli Workload Scheduler (TWS)Agile MethodologiesBanking & Financial Services DomainTechnical DocumentationIncident & Problem ManagementStakeholder CollaborationJob ExpectationsEnsure the stability, security, and performance of enterprise integration services.Collaborate effectively with globally distributed engineering and application teams.Follow enterprise architecture, security, and operational standards.Participate in incident, problem, and change management processes.Deliver high-quality technical documentation and support artifacts.Drive continuous improvements in integration engineering practices and platform capabilities.Support business-critical services with a strong focus on availability and resilience.Work modelHybrid work model (Sheffield/remote) preferred.BenefitsOur people are the most critical component of our long-term success and their health and wellbeing are our priority. You will enjoy a comprehensive, locally competitive benefits package.About NTT DATANTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.#LI-NorthAmericaJob SummaryJob number: 382827Date posted : 2026-07-22Profession: OtherEmployment type: Full time

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AI Engineer Sheffield Permanent The Role As an AI Engineer, you will be responsible for the design, implementation, and ongoing management of AI platforms, intelligent agents, and supporting infrastructure. You'll combine hands-on technical delivery with strategic input, ensuring AI solutions are scalable, secure, and aligned with organisational objectives. Key Responsibilities AI Platform & Infrastructure Design, implement, and maintain enterprise AI infrastructure across cloud and on-premise environments. Develop scalable architectures for AI workloads, including model hosting, vector databases, orchestration layers, APIs, and data pipelines. Integrate AI platforms with business-critical systems, data platforms, collaboration tools, and operational applications. Produce and maintain architecture documentation, operational procedures, and technical standards.AI Agents & Automation Design, develop, and manage AI agents, copilots, and workflow automation solutions. Build Retrieval-Augmented Generation (RAG) applications leveraging internal business data. Develop intelligent assistants supporting operational, engineering, customer service, and business functions. Implement multi-agent workflows and orchestration frameworks. Monitor and optimise AI solution performance, reliability, security, and cost efficiency.Governance & Compliance Ensure AI solutions align with security, governance, and compliance requirements. Support data governance, privacy, risk management, and lifecycle policies for AI-enabled systems. Maintain standards and documentation relating to AI usage, access control, and governance frameworks. Contribute to responsible AI practices and organisational AI governance initiatives.Stakeholder Engagement Partner with teams across the organisation to identify and prioritise AI opportunities. Support user adoption, training, and change management activities. Translate complex technical concepts into clear business language for non-technical stakeholders. Act as a trusted advisor on AI technologies and best practices.About You Essential Skills & Experience Proven experience designing, building, and deploying AI/ML solutions within enterprise environments. Strong Python development skills. Experience integrating and consuming REST APIs. Hands-on experience with Docker and Kubernetes. Knowledge of vector databases, embeddings, RAG architectures, and LLM orchestration frameworks. Experience with cloud technologies, networking, identity and access management, and security controls. Experience integrating AI solutions with Microsoft 365 technologies, collaboration platforms, and SQL-based databases. Strong experience working within AWS environments and services.Desirable Experience AI governance and responsible AI frameworks. MLOps and LLMOps tools and methodologies. Prompt engineering and model fine-tuning. Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI. AI orchestration platforms such as n8n or similar technologies. Knowledge graph technologies. Data lake and analytics platforms. Experience supporting organisation-wide AI adoption programmes

AI Engineer / AI Solutions Specialist Location: Sheffield HybridType: Permanent Shape the Future of AI in a Growing Business An exciting opportunity has arisen for an AI Engineer / AI Solutions Specialist to join a well-established business embarking on its AI journey.This is a unique chance to become the organisation's first dedicated AI hire, taking ownership of how AI is implemented, governed and adopted across the business. You'll work closely with IT, business stakeholders and senior leadership to identify opportunities for AI-driven innovation, build practical solutions and help establish a long-term AI roadmap.This role would suit someone who enjoys combining hands-on technical delivery with stakeholder engagement and is excited by the opportunity to build AI capability from the ground up. What You'll Be Doing Design, develop and deploy AI-powered solutions across the organisation. Build AI assistants, copilots, intelligent automation tools and knowledge management solutions. Develop Retrieval-Augmented Generation (RAG) solutions using internal business data. Create scalable AI architectures and support the ongoing management of AI platforms and infrastructure. Integrate AI solutions with business-critical systems, including Microsoft 365, SharePoint and other enterprise applications. Work with stakeholders across the business to identify opportunities for automation and AI adoption. Ensure AI solutions operate in line with security, governance and compliance requirements. Monitor performance, usage, reliability and cost of deployed AI solutions. What We're Looking For Commercial experience building and deploying AI or Machine Learning solutions. Strong Python development skills. Experience working with REST APIs and systems integration. Knowledge of LLMs, RAG architectures, vector databases and modern AI frameworks. Experience with AWS cloud services and infrastructure. Familiarity with Docker and Kubernetes. Experience integrating AI solutions with Microsoft technologies such as Microsoft 365, SharePoint or Teams. Strong communication skills and the ability to work with both technical and non-technical stakeholders. Desirable Experience AI governance and responsible AI practices. MLOps or LLMOps environments. Agentic AI frameworks such as LangGraph, CrewAI or AutoGen. AI orchestration tools such as N8N. Data governance and Microsoft Purview. Prompt engineering and model fine-tuning. Why Apply? Opportunity to become the first dedicated AI specialist within the business. Significant autonomy and ownership. Ability to shape AI strategy and influence future technology direction. Broad exposure across technical delivery, stakeholder engagement and innovation. Chance to make a visible impact through the adoption of AI solutions across the organisation.Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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