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AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents — ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities • Design and build high-performing AI models tailored to specific business needs, • Lead rapid prototyping initiatives through to production delivery, • Work directly with the IT Infrastructure team to deploy AI models into production environments, • Ensure solutions use Private Endpoints and meet enterprise-grade security standards, • Work with operational and business teams to embed AI tools into day-to-day workflows, • Drive adoption and ensure teams are actively using implemented AI solutions, • Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps), • Ensure AI solutions integrate securely with existing systems, data platforms, and APIs, • Collaborate with commercial stakeholders to assess project viability and business value before implementation, • Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes, • Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential, • Deep expertise in Python and relevant AI/ML frameworks and SDKs, • Proven experience building RAG pipelines that operate effectively in production environments, • Hands-on experience with model packaging, deployment, and production AI workflows, • Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations, • Experience working with at least one major enterprise AI cloud platform (Azure preferred), • Strong SQL skills and experience working with both structured and unstructured data, • Experience building AI agents, workflow automation, and tool/API integrations, • Strong understanding of AI implementation, deployment, and operationalisation, • Ability to work closely with technical and non-technical stakeholders, • Strong problem-solving and communication skills Desirable, • Experience with LLMOps / GenAIOps tooling and monitoring frameworks, • Exposure to OCR, computer vision, voice AI, or conversational AI solutions, • Experience working in operational, retail, automotive, or customer-focused businesses, • Familiarity with AI governance, security, and scalability best practices, • Experience helping shape or build internal AI capabilities within a business Salary & Benefits, • Competitive salary depending on experience, • Quarterly bonus scheme, • Hybrid working arrangements — 3 days office / 2 days remote, • Opportunity to shape AI capability within a growing business, • Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester

Senior Software Engineer, C++ and Python, 9 Month FTC, Manchester, COR7567 Are you a Senior Software Engineer with strong C++ and Python experience looking to work on cutting-edge AI and machine learning technology? The Role As a Senior Software Engineer, you’ll play a key role in designing and developing software that powers advanced biometric identification systems. Working across the full software lifecycle, you’ll help build and optimise machine learning inference pipelines used in real-time systems. You’ll develop production-grade applications in modern C++, contribute to automation and testing frameworks using Python, and help ensure systems are scalable, secure, and highly reliable. The role also involves working closely with cross-functional teams to deliver new features in an Agile environment. The Company Our client is an innovative technology company focused on delivering secure solutions for customers worldwide. They foster a collaborative engineering culture where experimentation, continuous learning, and technical excellence are encouraged. This is a 9 month fixed term contract, with a high likelihood of going permanent, working from their Manchester offices. What’s Required? The ideal candidate will have: Strong commercial experience with modern C++ Experience developing software within Linux environments Good Python development skills, particularly for automation and integration work Experience working with Docker containers and CI/CD pipelines Strong understanding of Git, automated testing, and TDD principles Knowledge of AI or machine learning inference concepts Any experience with image processing, Golang, gRPC, Protocol Buffers, or cross-platform C++ development would be advantageous. Next Steps If you’re a Senior Software Engineer looking to work on innovative AI and machine learning technology in a collaborative environment, apply now to learn more about this opportunity. Senior Software Engineer, C++ and Python, 9 Month FTC, Manchester, COR7567 Corriculo Ltd acts as an employment agency and an employment business. #AS #ChannelA

Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership • Define and evolve the data science roadmap aligned to business priorities., • Identify high-value ML use cases and translate commercial problems into scalable analytical solutions., • Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration., • Establish best practices for experimentation, evaluation, reproducibility, and documentation., • Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery, • Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling., • Design scalable feature pipelines in collaboration with Data Engineering., • Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks., • Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing)., • Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement, • Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready., • Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences., • Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk, • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits • Hybrid working, • Training and development budget, • Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester

Process Automation & Digitalization Specialist Location: Manchester Rate: £30 (An hour) Duration: 12 Months Initially Location: Manchester IR35: Inside (Must use an umbrella company) Key Responsibilities • Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes, • AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team, • Digitalization: Support the digital transformation roadmap by building prototypes, proof-of-concepts, dashboards, Power Apps, and scalable digital solutions, • Integration: Connect automation solutions with existing systems (SAP S/4HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools), • Documentation & Knowledge Transfer: Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period, • Stakeholder Collaboration: Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions, • Continuous Improvement: Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes Required Skills & Experience: • Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline, • Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies), • Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents), • Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent), • Familiarity with ERP systems (SAP S/4HANA preferred), • Experience working with APIs, system integrations, and structured/unstructured data sources * Ability to work independently, manage multiple workstreams, and deliver within tight timescales, • Strong communication skills with the ability to translate technical concepts into business-friendly language for non-technical stakeholders Desirable: • Experience in supply chain, logistics, or manufacturing environments, • Familiarity with SAP S/4HANA, APO, OTM, or logistics visibility platforms, • Experience with API integrations and cloud platforms (Azure preferred), • Exposure to Agile or iterative delivery methods, • Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate), • Experience supporting digital transformation or automation initiatives in operational environments

Data Engineer - Manchester (Hybrid) - Python, Cloud, AI & Generative AI - up to £55,000 This is a great opportunity to join a well-established, global consulting organisation that's working on interesting, meaningful projects. The focus is on large-scale technology and transformation programmes, with plenty of opportunity to build practical AI and data solutions that are used in the real world. You'd be part of a team operating right at the heart of data and AI, tackling real problems for major public and private sector organisations. There's a clear commitment to investing in people, whether that's learning new technologies, gaining exposure to modern AI use cases or working alongside experienced engineers who are open, supportive and happy to share their knowledge. You will work with: • End-to-end data engineering and AI solutions supporting enterprise-scale transformation, • Scalable data pipelines, datasets and analytical platforms, • AI and machine learning models, including predictive and advanced analytics, • Generative AI solutions, using large language models and prompt/context engineering, • Multiple data sources, ensuring strong data quality, governance and security, • Cross-functional Agile teams including engineers, analysts and business stakeholders What will be involved in the role: • Designing, building and maintaining robust, scalable data pipelines and data models, • Developing and implementing AI / ML and Generative AI solutions aligned to business needs, • Integrating structured and unstructured data from multiple systems, • Implementing testing, monitoring and optimisation to ensure reliability and performance, • Producing clear technical documentation and supporting data governance standards, • Communicating complex technical concepts to non-technical audiences Benefits - What's on offer: • Salary up to £55,000 plus a comprehensive benefits package, • Exposure to high-profile transformation and AI programmes, • Ongoing learning and development in data, AI and emerging technologies, • Clear and structured career progression pathways, • Supportive, inclusive culture with a strong focus on wellbeing and flexibility Key experience - What we're looking for: • Experience as a Data Engineer, Data Developer or AI Engineer, • Strong programming skills in Python and SQL, • Hands-on experience building and maintaining data pipelines, • Exposure to AI / ML frameworks, • Experience with cloud platforms, data warehouses or big data technologies, • Strong analytical and problem-solving skills, • Comfort working in Agile delivery environments, • Eligibility for UK Security Clearance Interested? If you're looking to take the next step in Data and AI while working on meaningful transformation work, now is the time to act. Apply now!

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in th... ZIPC1_UKTJ

Data & AI Engineer - Up to £50,000 Location: Newcastle or Manchester - HybridSecurity Clearance: UK SC eligibility required The Opportunity We are supporting a leading organisation within the Technology and Data space that deliver large-scale, technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation. This role is ideal for a Data Engineer or AI Engineer who enjoys working across the full data lifecycle and wants to build practical, scalable solutions using modern data and AI technologies. The Role As a Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, production-ready solutions. Key responsibilities: • Designing and building scalable data pipelines, datasets, and data models, • Integrating data from multiple structured and unstructured sources, • Developing advanced analytics, machine learning and AI solutions where appropriate, • Building Generative AI solutions using large language models and prompt/context engineering, • Ensuring data quality, reliability, and performance through testing and monitoring, • Optimising data and model performance for scale and efficiency Required Experience & Skills • Proven experience in a Data Engineer, Data Developer, AI Engineer or similar role, • Strong programming skills in Python and SQL, • Experience building and maintaining data pipelines, • Exposure to cloud data platforms, data warehouses, or big data technologies, • Strong analytical and problem-solving skills, • Ability to communicate technical concepts to non-technical stakeholders Security & Compliance: • Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance Working Model: • Hybrid working with a Manchester or Newcastle base Why Apply? • Work on high-impact, enterprise-scale data and AI initiatives, • Gain exposure to a wide variety of industries and complex systems, • Be part of a collaborative, inclusive engineering culture, • Access structured career development, training and progression opportunities

The Opportunity: This fast-growing healthtech scale-up is transforming how organisations understand and act on real-world feedback data. Their platform aggregates and processes millions of unstructured data points from external sources, turning them into meaningful insights that drive decision-making across large enterprise clients. Following recent investment and a strategic shift towards international growth, the business is entering an exciting new phase of development. As part of this journey, they are looking to appoint a Senior Data Engineer to play a key role in evolving their core data platform. This is a rare opportunity to join a small, high-impact team, taking ownership of critical systems and helping shape how data is collected, structured and used across the organisation. The Role: As Senior Data Engineer, you will take a hands-on leadership role in the development and optimisation of a modern, cloud-native data platform. Working closely with engineering, product and data science teams, you will be responsible for designing scalable data pipelines, improving platform performance and shaping best practice across the data function. This is a role with genuine ownership — not just maintaining existing systems, but actively building and improving them. This is a fully remote role (UK-based), offering flexibility alongside the opportunity to work on complex, high-volume data challenges. Key Responsibilities • Own and evolve the organisation’s AWS-based data platform, including data lake, warehouse and modelling layers, • Design and build scalable data pipelines ingesting large volumes of structured and unstructured external data, • Develop infrastructure using Infrastructure as Code (CDK / Terraform), • Improve platform performance, scalability and reliability, ensuring production-grade data systems, • Establish and promote engineering best practices including CI/CD, testing, documentation and monitoring, • Collaborate with product and data stakeholders to translate requirements into robust technical solutions, • Support the ongoing development of data architecture to enable advanced analytics and future machine learning use cases, • Act as a senior technical voice within the team, contributing to design decisions and platform directionAbout You: We are looking for a hands-on, technically strong engineer who enjoys solving complex data problems and takes pride in building scalable, reliable systems. You are likely to bring: • Strong experience working with AWS-based data platforms, • Excellent Python and SQL skills, with a focus on clean, production-quality code, • Experience designing and maintaining data pipelines at scale, • Solid understanding of data modelling, data lakes and warehouse architectures, • Exposure to Infrastructure as Code and CI/CD workflows, • A proactive, ownership mindset and the ability to work independently in a fast-paced environment Desirable: • Experience building or maintaining web scraping / external data ingestion pipelines, • Exposure to machine learning workflows or data science environments, • Previous experience working in a startup or scale-up setting

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 Role: 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! Your primary responsibilities will involve performing DevOps, backend and cloud development on the data infrastructure to develop innovative solutions to effectively scale and maintain the data platform. 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. After a suitable settling in period, you will also join our out of hours on call team, for which you will receive additional compensation. Key Responsibilities: · Proactively identify opportunities to improve the data platform, including the performance, architecture and design, and take ownership of the implementation. · Continually review, measure and monitor the performance of the data platform and evaluate improvements in design, architecture and tooling. · Design, architect and build internal data platform tooling to enable best practice development and delivery of our data products. · 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. · Maintaining clear documentation for datasets, logic, processes and known issues. · Collaborate with internal engineering, product and operations teams to align on scope and deliverables. · Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety. About You: Here’s what we’re looking for: · 3+ years of professional Python development experience as a Data Platform Engineer, using AWS. · Experience developing and deploying Serverless technologies, provisioning Apache Airflow, and using infrastructure as code such as AWS CloudFormation or Terraform. · Takes a collaborative approach to problem solving and breaking down complex problems, whilst working on large and complex datasets. · The ability to be flexible and agile, ready to adapt to changes when things don’t go to plan. · Knowledge of agile software development best practices including continuous integration, automated testing and working with software engineering requirements and specifications. · Good interpersonal skills, positive can-do attitude and willing to help other members of the team. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Exposure to using AI tools to enhance productivity and quality of coding, reviews and documentation. 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 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 our data pipeline, we’d love to hear from you. Please email your CV with the heading ‘Data Platform Engineer’ to recruitment@realitymine.com

Principal AI/ML Engineer - Technical Lead Manchester, UK (Hybrid or Remote) I’m currently partnering with a highly innovative AI company building advanced Computer Vision and visual intelligence technology deployed at global scale. This is not a research-only role or a position focused on experimenting in isolation. The company is looking for someone who can take ownership of the entire AI production lifecycle - from raw data collection and training pipelines through to robust, production-ready models operating in demanding environments. The role is ideal for someone who combines deep technical expertise with a hands-on approach to engineering and leadership. The Opportunity You will lead the design and evolution of the company’s AI production pipeline, covering data ingestion, organisation, annotation strategy, model training, validation, optimisation, deployment, and monitoring. The focus is on building industrial-grade Computer Vision systems that perform reliably outside the lab - with real constraints around latency, scalability, reliability, and throughput. You’ll work closely with Engineering, Product, and AI teams to ensure research and technical innovation translate directly into commercial impact. This role also comes with significant influence internally. You’ll have the autonomy to help shape the structure, standards, and direction of the AI/ML function, while hiring and developing a high-performing international team. Key Responsibilities • Own and scale the end-to-end AI/ML production lifecycle, • Build high-performance Computer Vision systems for production deployment, • Drive development across Object Detection, Segmentation, Tracking, and Transformer-based architectures, • Define standards across MLOps, model quality, deployment, monitoring, and engineering best practice, • Improve the speed and efficiency of taking models from raw data to production, • Work cross-functionally with Product and Engineering teams on long-term technical strategy, • Hire, mentor, and grow AI/ML engineering teams across multiple locations, • Establish scalable team structures, workflows, and delivery processes within an Agile environment Requirements • Proven track record delivering ML or Computer Vision products into production at scale, • Strong expertise across modern Computer Vision techniques and deep learning architectures, • Excellent Python and C++ engineering skills, • Experience optimising training and inference pipelines for real-world deployment, • Strong systems and engineering mindset alongside deep ML knowledge, • Previous experience leading technical teams while remaining hands-on, • MSc or PhD in Computer Science, Machine Learning, or a related field preferred The company offers a strong engineering culture, high levels of technical ownership, and the opportunity to work on difficult AI problems with direct real-world impact. If you are interested in applying, please apply through the link

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 Data Engineer who will play a key role in supporting, analysing, testing and enhancing our behavioral data products, ensuring high quality outputs for clients and internal stakeholders. The Role: You will sit within the Machine Learning team, helping ML engineers to deliver high-quality production models and data products through testing, analysis, validation and operational support. You’ll work across analysis, testing, validation and operational support, using SQL, Python and internal tooling to investigate issues, improve processes and deliver reliable data products. 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 a minimum of 2 days per week. The rest of the week is up to you; deep focus at home, or more of the same! Key Responsibilities: • Analyse product datasets to identify trends, anomalies and opportunities for improvement., • Perform testing and validation of new fields, logic changes and product releases., • Investigate data quality issues and support root cause analysis with Engineering and ML teams., • Write SQL and Python queries/scripts to interrogate data and automate checks., • Support internal stakeholders and clients with product queries, incidents and data requests., • Maintain clear documentation for datasets, logic, processes and known issues., • Collaborate with Product, Engineering and Operations teams to prioritise enhancements., • Adhere to Company Policies and Procedures with respect to Security, Quality and Health & Safety. About You: We’re looking for a strong communicator who enjoys solving problems, working with data and supporting a fast-paced product environment. Here’s what we’re looking for: • Strong SQL skills and confidence working with large datasets., • Experience with Python or a similar scripting language., • Excellent attention to detail and a testing / quality mindset., • Strong analytical thinking and structured problem solving., • Clear communication skills with technical and non-technical stakeholders., • Ability to manage multiple priorities and respond calmly to issues., • Self-motivated with a collaborative approach. Preferred: • Familiarity with AWS data tooling such as S3, Athena, Spark or notebooks., • Experience supporting data products or client-facing datasets., • Understanding of release testing, UAT or production support processes., • Exposure to Jira / Agile delivery 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 full equipment provided for home working (desk, screen, chair). · Receive £100 annually to personalize your home workspace. · Flexible start and finish times to suit your personal circumstances. If you’re a Data 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 Engineer – Products’ to recruitment@realitymine.com

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’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. Whether 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. How it works - your journey to AI successStep 1: Discover AI Start 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. Step 2: Full-Stack AI Mastery Dive 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. Step 3: Get Certified Prepare 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. Step 4: Real-World Projects Showcase 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. Your guaranteed future After 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. We guarantee a job offer upon completion or 100% of your course fees refunded. We’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. Ready to future-proof your career? If 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.

Data Scientist (ML Engineer) Location: Manchester Salary: £49,387 to £56,515 per annum Vacancy Type: Permanent, Full Time The closing date is 18 June 2026 Job summary Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don't delay your submission. Main duties of the job We're looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you'll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You'll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you'll do and bring to the role • Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production., • Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities., • Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI., • Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions., • Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches., • Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. About us The Architecture & Data team sits at the heart of NICE's digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: • Generous NHS Pension - Secure your future with one of the most rewarding pension schemes in the UK, • Flexible working - Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times, • Exclusive discounts - Save on shopping, dining and more with a Blue Light CardTime to recharge - Start with 27 days' annual leave plus bank holidays, • Inclusive staff networks - Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud - we celebrate diversity, • Tailored development - Grow your career with personalised learning and development opportunities Person Specification • Holds highly developed specialist knowledge and expertise acquired through a master's degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development., • Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically., • Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products., • Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making., • Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable • Artificial intelligence certification. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. To Apply If you feel you are a suitable candidate and would like to work for NICE (The National Institute for Health and Care Excellence), please click apply to be redirected to their website to complete your application.

Duration: Initial 6 months (with strong extension potential) About the Role We're supporting a leading organisation looking to hire an experienced LLM / Generative AI Engineer to design and deliver advanced GenAI solutions.This is a hands-on contract role suited to someone with deep expertise in Large Language Models (LLMs), prompt engineering, and building production-grade GenAI applications. You'll play a key role in delivering innovative AI capabilities that drive real business value. Key Responsibilities • Design, build, and deploy LLM-powered applications and GenAI solutions, • Develop and optimise prompt engineering strategies for performance and accuracy, • Implement RAG (Retrieval-Augmented Generation) pipelines using structured and unstructured data, • Fine-tune and customise foundation models and LLMs where required., • Integrate GenAI solutions into enterprise systems, APIs, and applications, • Work with data teams to build and optimise vector databases and embedding pipelines, • Ensure solutions are scalable, secure, and production-ready, • Implement monitoring, evaluation, and guardrails for LLM outputs, • Collaborate with stakeholders to translate use cases into technical solutions, • Stay up to date with emerging trends in LLMs, GenAI, and AI tooling Experience Required • Strong commercial experience (typically 4-8+ years) in software engineering, data science, or machine learning, • Proven experience building and deploying LLM / Generative AI applications in production environments, • Hands-on experience with RAG architectures, embeddings, and vector search, • Experience working with LLM APIs and frameworks (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face), • Strong understanding of prompt engineering techniques and optimisation strategies, • Experience working with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma), • Practical experience with model evaluation, tuning, and performance optimisation, • Experience integrating AI solutions into APIs, microservices, and front-end applications, • Strong understanding of data handling, preprocessing, and pipeline development, • Knowledge of AI safety, hallucination mitigation, and guardrail implementation, • Experience working in agile, cross-functional delivery environments, • Previous contract or consulting experience in enterprise settings is highly desirable. Key Skills • Python (essential), • LLM frameworks (LangChain, LlamaIndex, Semantic Kernel), • API integration and microservices development, • Cloud platforms (Azure, AWS, or GCP), • Vector databases and embeddings, • Git, CI/CD, and DevOps practices Desirable Experience • Experience with Azure AI / Microsoft Copilot stack, • Fine-tuning open-source models (e.g., LLaMA, Mistral), • Experience with multi-modal models (text, image, audio), • Front-end integration experience (e.g., React-based AI applications), • Exposure to AI governance and responsible AI frameworks, • Industry experience in [Finance / Retail / Healthcare - tailor as needed] What's on Offer • Opportunity to work on cutting-edge GenAI and LLM projects, • High-impact role delivering real-world AI use cases, • Flexible working arrangements, • Competitive day rate with strong extension potential Apply Now If you're a skilled LLM / Generative AI Engineer looking for your next contract and want to work on innovative AI solutions, we'd love to hear from you. 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

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development. Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI / ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level Experience mentoring junior team members Preferred Requirements: Deep expertise in engineering agentic AI systems Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows

AI Architect (Contract) Duration: Initial 6 months (with strong extension potential) About the Role We're working with a forward-thinking organisation looking to engage an experienced AI Architect on a contract basis to drive the design and delivery of enterprise-grade AI solutions.This role is ideal for a highly skilled consultant who can operate at both a strategic and hands-on level, helping shape AI capability while delivering real, production-ready outcomes. Key Responsibilities • Define and implement the AI architecture strategy and roadmap, • Design scalable, secure, and high-performance AI/ML solutions, • Translate business requirements into end-to-end AI architectures, • Lead the design of data pipelines, model training environments, and deployment frameworks, • Implement best practices for MLOps, CI/CD, and model life cycle management, • Evaluate and recommend AI tools, platforms, and frameworks, • Ensure alignment with data governance, security, and regulatory requirements (e.g. GDPR), • Collaborate with key stakeholders across data, engineering, and business teams, • Provide technical leadership and architectural oversight across AI initiatives Experience Required • Extensive experience (typically 8-12+ years) in technology, with a strong focus on AI, machine learning, and data architecture, • Proven track record of delivering enterprise-scale AI/ML solutions in complex environments, • Experience defining and implementing AI architecture strategies and roadmaps, • Strong hands-on experience building end-to-end AI systems (data pipelines, model development, deployment, monitoring), • Deep experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architecture, • Strong background in data engineering and large-scale data platforms (e.g., Spark, Databricks), • Experience implementing MLOps frameworks, including CI/CD and model governance, • Experience integrating AI into microservices, APIs, and enterprise systems, • Exposure to advanced AI techniques such as NLP, deep learning, and Generative AI / LLMs, • Strong understanding of AI governance, ethics, and compliance requirements, • Proven ability to work in cross-functional, stakeholder-heavy environments, • Experience in a senior or architect-level role, with strong technical leadership capability Key Skills • Python (or similar programming languages), • TensorFlow, PyTorch, or similar ML frameworks, • Cloud AI services (Azure AI, AWS SageMaker, GCP AI Platform), • Data technologies (SQL/NoSQL, Spark, Databricks), • API and microservices architecture, • DevOps / MLOps tooling Desirable Experience • Experience with Generative AI solutions (e.g. Azure OpenAI, GPT-based models), • Microsoft stack experience (Azure, Fabric, Synapse), • Previous consulting or contract experience in enterprise environments, • Industry experience in [Finance / Retail / Healthcare - tailor if needed] What's on Offer • Opportunity to work on cutting-edge AI initiatives, • High-impact role shaping AI strategy and delivery, • Flexible working arrangements, • Competitive day rate with long-term extension potential Apply Now If you're an experienced AI Architect available for your next contract and ready to deliver impactful AI solutions, we'd love to hear from you. 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

Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home. A Day in the Life of an Online Data Analyst: • In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide, • Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information. Join us today and be part of a dynamic and innovative team that is making a difference in the world! TELUS Digital AI Community Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands Qualification path No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement. Basic Requirements • Full Professional Proficiency in English language, • Being a resident in United Kingdom for the last 5 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in United Kingdom, • Ability to follow guidelines and conduct online research using search engines, online maps, and website information, • Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance, • Daily access to a broadband internet connection, computer, and relevant software Assessment In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Semi-skilled Operative - Machine Shop Pay Rate: £16.33 (£14.20/hr plus 15% Shift Allowance) Hours: 36hrs. Mon - Thurs / with 30min break. Fri / . Location: Middleton, Manchester Duration: 6 months with a high possibility of becoming permanent. As a Semi-Skilled Machine Shop Operative at our clients Greengate Business Unit you will Conduct semi-skilled duties within the machine shop. You will be keen to take on challenges, develop your leadership and or skills potential as well as expand your knowledge and experience through a variety of exciting initiatives. DUTIES & RESPONSIBILITIES: • Deburring, polishing + part marking duties as required., • Painting + stamping/ stencil of product as required., • Relevant administration duties, e.g. route cards., • FLT duties as required., • General housekeeping duties., • Keep equipment and work area clean and orderly and perform basic preventative maintenance functions on equipment., • Perform any other work related tasks and duties in accordance with the business needs., • Comply with all NOV Company and HSE policy and procedures., • Travel as and when required, • Carry out other duties as and when business requirements dictate as may be reasonably expected by line manager SKILLS & EXPERIENCE REQUIRED • Experience within a manufacturing environment and FLT license (desirable) -Engineering experience with metal • -Using handtools, grinding tools, etc, for deburring, polishing, etc., • FLT license highly desirable but not a requirement Strategic • Has and uses the required functional and technical knowledge and skills to do job at a high level of accomplishment (Functional &Technical), • Able to adeptly learn the context of a challenge and quickly integrate new skills (Learning on the fly) Operating • Able to apportion time effectively to complete tasks (Time management), • Able to define, work within and improve business processes based on immediate and future business needs (Process management) Energy • Performs work with energy and drive while exploring other opportunities to contribute (Action oriented) Organisational • Communicates effectively, both inside and outside the organisation, on both simple and complex topics (Presentation skills) Personal and Interpersonal • Imbued with a strong sense of customer focus (internal/external) (Customer focus), • Committed to self-improvement and development through the role in order to achieve career goals (Self development) Quality Qualifications: • FLT Licence (desirable) Experience: • Familiar in working within a high productivity machine shop environment (required) Skills, training or special knowledge: • Computer literacy (required), • Manual handling, slinging and lifting (required), • HSE awareness (required) Quality Assurance: • Carry out all duties in accordance with the Quality Assurance procedures and department/area work instructions., • Contribute to general improvements in the quality and key activities of the department/area. Training: • Participate in training where required. Health, Safety and Environment: • Carry out all duties safely and in accordance with the Health & Safety Policy, Employee Handbook, procedures, training and instruction., • To be safety conscious and report any safety hazards to the HSE representative. Privacy Statement Dexters Recruitment Ltd collects and processes your personal data during recruitment in line with UK GDPR to assess your suitability for a role, based on legal obligations, contractual steps, and our legitimate interests. Data may come from you or third parties (e.g. referees) and may be shared internally or with trusted partners for recruitment purposes. We retain all applicant data for up to 36 months on our database for work finding purposes, unless you request us not to do so. You have rights over your data and can contact us or the ICO with questions or concerns. For more information see our privacy policy on our website.

A multinational technology firm is looking for a personable IT graduate with a passion for development to join its team, based in Manchester. As the business embraces flexibility, you can work from home up to 3 days per week. Working with a large team of developers in a fast-paced, dynamic environment you will develop innovative web-based user interfaces that utilise AI to enhance the customer experience. You will craft user interfaces using the latest JavaScript frameworks, HTML5 and CSS3, bringing cutting-edge AI driven applications to life. You will build upon your existing web development and design skills in a supportive and collaborative environment. This role would suit an intelligent and personable web developer who is passionate about technology and interested in AI and ML. To be considered for this role you must have a good degree in a relevant subject (IT, Computer Science or similar), and a desire to build a career in web development. In order to be suitable for this position, you must have a secure understanding of core web technologies, including: JavaScript, HTML5 and CSS3. It is expected that you will also be familiar with AJAX or JSON for data exchange and have knowledge of JavaScript frameworks. Knowledge of a server side language such as Java, and of Artificial Intelligence and Machine Learning would be advantageous to your application. This is an outstanding opportunity for a graduate to take the first step in their career at a market-leading business that invests heavily in its staff and offers a clearly defined career path.

We’re partnered with a fast-scaling SaaS business building a sophisticated platform used by enterprise organisations to make smarter, data-led decisions across complex environments. They’re now hiring a Senior / Principal Data / AI Engineer to help shape how intelligence is built into the product - from machine learning models through to emerging agentic workflows. This is not a “pure research” role - it’s hands-on, product-focused, and ideal for someone who enjoys taking ideas from concept to production. What You’ll Be Doing • Designing and building production-grade ML and data-driven features, • Working closely with product and engineering to embed AI into real-world use cases, • Developing and maintaining data pipelines and model workflows, • Experimenting with and implementing agentic / autonomous AI workflows, • Contributing across the stack where needed (APIs, services, integrations), • Improving performance, scalability, and reliability of AI systems Tech & Environment • Core: Python (machine learning, data science, AI workflows), • AI/ML: Applied ML, data modelling, experimentation, • Automation / Agents: Agentic workflows, orchestration tools (e.g. n8n or similar), • Data: Pipelines, transformation, structured data systems, • Bonus Exposure: Java / backend systems, full-stack environments What They’re Looking For • Strong commercial experience with Python in a data/AI/ML context, • Proven track record of building real-world ML or AI-driven features (not just notebooks), • Experience working with data pipelines and production systems, • Interest or hands-on exposure to agentic workflows / AI automation, • Ability to work across teams and take ownership of end-to-end delivery Nice to have: • Experience working in a full-stack or backend-heavy environment, • Exposure to Java-based systems, • Background in complex SaaS or enterprise platforms Why This Role? • Work on genuinely interesting AI problems, not just surface-level features, • Opportunity to shape how AI is embedded into a growing product, • Strong engineering culture with real ownership, • Equity included as part of the package, • Fully remote within the UK If you’re building AI systems that actually get used, and want to push further into modern workflows like agents and automation, this is worth a conversation. Apply directly or drop me a message for more details.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Mechatronics Engineer - Manufacturing & AutomationLocation: Manchester (Fully On-Site)Team: 15 Engineers (Mechanical, Electrical, Automation, CI, Quality, Technicians)Business Size: Over 275 employees About the Company A leading global manufacturer specialising in electromechanical systems, automation, and precision engineered products. The Manchester site is the company's largest UK engineering hub, offering daily collaboration with highly skilled engineers across multiple disciplines. The organisation is known for continuous innovation, complex engineering challenges, and a culture where learning, curiosity, and adaptability are valued. The Opportunity This is a hands-on, design-focused Mechatronics Engineering role ideal for someone who enjoys solving complex problems, working across multiple engineering domains, and taking products from cradle to grave. The role is challenging and exciting - and here's why:A senior engineer recently retired after 20+ years, leaving behind a nearly complete machine with no documentation. One of your first of many major projects will be to reverse engineer the system, understand how it works, and complete the design. An engineer who loves a complex challenge will find this the perfect environment. Key Responsibilities • Lead mechanical design using SolidWorks and AutoCAD, • Reverse engineer a machine and complete its development, • Design, develop, and optimise systems involving sensors, actuators, motors, and embedded components, • Contribute to PLC programming (Allen-Bradley) and automation development, • Support manufacturing teams with troubleshooting, improvements, and root-cause analysis, • Work closely with electrical, firmware, mechanical, and quality engineers, • Participate in continuous improvement initiatives across the engineering function, • Produce technical documentation, drawings, and design specifications, • Support prototype builds, testing, and validation, • Engage in a fast-moving environment where priorities and challenges evolve daily What Makes This Role Unique • A rare chance to reverse engineer a complex electromechanical system from scratch, • Exposure to high-level automation, robotics, and PLC-driven machinery, • Daily collaboration with highly intelligent, multidisciplinary engineers, • A culture that encourages learning, experimentation, and adaptability, • Full lifecycle ownership - from concept to production, • A stable, global business with strong engineering heritage Desired Skills & Experience • Strong mechanical design capability - this is the deal-breaker, • Highly proficient in SolidWorks and AutoCAD, • Experience with PLC / automation systems (Allen-Bradley preferred), • Background in electromechanical design, robotics, or automation, • Familiarity with Python and basic C, • Experience taking products from concept through to manufacture, • Ability to work in a fast-changing environment, • Strong problem-solving and reverse-engineering mindset Desirable Backgrounds - Candidates may come from: • Mechatronics, • Mechanical engineering, • Electrical engineering, • Robotics, • Automation engineering, • Electromechanical product development Working Environment • Fully on-site role, • Fast-paced first 3 months with constant change, candidates must enjoy this, • Supportive team of 13 engineers with deep technical knowledge This role gives you the chance to step into a high-impact engineering position with a very competitive salary, that will only ever increase. You'll work at the company's largest UK engineering site, surrounded by a highly skilled multidisciplinary team. You'll take ownership of a rare reverse-engineering challenge with real technical autonomy. If you want fast learning, constant variety and visible impact, this role delivers it. 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

Member Experience Agent Ready to level up your career? The Member Experience (MX) team at Airtime is looking for its next great addition. Airtime isn't just another rewards platform, we’re a data-driven powerhouse reshaping how millions of people save money and how the world’s biggest brands connect with their customers through seamless everyday shopping. We turn transactional data into actionable insights using industry leading technology. By blending analytics with pure creativity, we help retail giants truly understand their customers, boosting loyalty and driving revenue along the way. Why Airtime? • We’re growing fast: We constantly launch slick new features to keep our massive member base and brand partners smiling., • We’re obsessed with innovation: It’s what keeps us ahead of the pack., • We crush goals together: We hold ourselves to high standards, but we win as a team. If you’re ambitious, collaborative, and ready to make a real impact, you’ll fit right in. What You'll Be Responsible For: Delivering exceptional member experiences • You'll own member interactions from start to finish, ensuring every conversation leaves a positive impression and contributes to the high standards we're known for. Supporting and resolving member queries • Whether it's answering questions, investigating issues, or finding the right solution, you'll help members quickly and confidently. Becoming an Airtime expert • You'll develop a deep understanding of our products, features and processes so you can provide accurate, helpful support across a range of channels. Championing the voice of our members • You'll spot trends, identify recurring issues and work closely with Product, Tech and other teams to ensure member feedback helps shape the Airtime experience. Maintaining quality and accuracy • You'll keep member records up to date and ensure interactions are documented clearly to support seamless service and continuous improvement. What We're Looking For We're looking for someone who genuinely enjoys helping people and takes pride in delivering great service. You'll thrive in this role if you are: • Customer obsessed and passionate about creating great experiences, • Proactive, resourceful and happy taking ownership, • A quick learner who enjoys solving problems, • Organised and able to manage competing priorities, • A confident communicator, both written and verbal, • Curious, collaborative and always looking for ways to improve Experience You'll ideally have experience using: • Customer service platforms and CRM systems, • Internal support tools and knowledge bases, • Social media channels, • Online review platforms Bonus Points If You Have • Experience working in a technology, app-based or retail environment, • 2+ years' experience in a customer-facing support role, • Experience supporting customers across Facebook, X, Instagram and review sites What You Will Get We believe great work happens when people feel supported, trusted, and genuinely valued. So, we’ve built a benefits package that’s designed to give you flexibility, support your wellbeing, and help you grow both inside and outside of work. Reward & Security • Share options: Be a true part of our success, • Competitive salary, • Life assurance at 5x your salary Time Off That Matters • 23 days holiday, plus more with every year you’re here (up to 28!), • Your birthday off: Go ahead, have a ‘you day’, • Buy extra holiday when you need it (up to 5 extra days), • A dedicated charity day to give back to causes you love Flexibility & Balance • Flexible start times: Roll in anytime between 6:30–10:30am, • Hybrid working to perfectly balance home and office life Health & Wellbeing • Private medical insurance, • Health cash plan for everyday healthcare, • Virtual GP access for you and your family, • 24/7 support for mental health, counselling, and wellbeing Growth & Development • Learning & development budget + dedicated time to actually use it, • Professional accreditation funding, • Real opportunities to learn from experienced colleagues and level up your career Support Through Life • Enhanced maternity, paternity & adoption leave, • A culture that understands life happens outside of work Community & Culture • Company charity contributions, • Regular team moments that actually feel meaningful (no "forced fun" here), • A team that values collaboration, curiosity, and just getting things done The Bottom Line We’re building a place where you can do your best work without burning out, standing still, or feeling like just another cog in the machine. Because when you’re supported, everything else follows.

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 henry.clay-davies@searchability.com. 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

Lead Customer Insights Analyst £70,000 - £90,000 + bonus Hybrid - Manchester (2 days per week) This is a senior leadership role for someone who wants to shape how customer insight is embedded across an organisation. You will sit at the centre of strategy, analytics and transformation, building the frameworks, data foundations and ways of working that enable high impact, decision ready insight at scale. The Company They are a large, complex organisation with a strong focus on customer experience and data driven decision making. Customer insight sits at the heart of their transformation agenda, supporting senior leaders to act with confidence. The environment is collaborative, fast moving and focused on long term value creation through analytics and AI. The Role • Lead the strategic enablement of a central insights capability, focusing on scalable, self service analytics, • Design and maintain a holistic 360 degree customer view across internal and external data sources, • Build and embed frameworks, standards and reusable assets for analytics and insight generation, • Drive the development of data infrastructure, governance and quality to support trusted insight, • Champion innovation in advanced analytics, machine learning and AI, evaluating and adopting new approaches, • Translate complex analysis into clear, actionable recommendations for senior stakeholders, • Coach and mentor analytics professionals, raising analytical maturity across the organisation, • Lead and contribute to enterprise wide initiatives that link insight to measurable business outcomes Your Skills and Experience • Strong commercial experience in customer insight, analytics strategy and transformation, • Deep capability in data architecture, integration and connectivity across multiple data sources, • Advanced knowledge of machine learning, predictive modelling and modern analytics frameworks, • Proven ability to design integrated customer data assets that support decision making, • Excellent stakeholder management skills, with confidence influencing senior leaders, • Ability to synthesise complex data signals into clear, impactful insight, • Experience working in highly regulated or complex environments is beneficial What They Offer • Competitive salary and performance related bonus, • Opportunity to shape an enterprise level customer insight strategy, • Clear scope for career progression within a growing analytics leadership function, • Supportive culture with a strong focus on learning, innovation and impact How to Apply If you are looking to lead customer insight strategy and drive meaningful transformation through data, apply now.

Role Profile: Process Automation & Digitalization Specialist Location: Manchester, UK Contract Type: Temporary (6 months) Rate: £21.90 per hour Purpose of the Role Support the Europe Supply Operations Transformation agenda by designing, developing, and deploying automation solutions and digital tools that improve operational efficiency across supply planning, Logistics & Order Management Europe (ELOM), logistics visibility, and customs processes. Bring technical expertise in AI, process automation, data analytics, and digitalization to accelerate ongoing transformation initiatives and support the development of scalable digital capabilities across Supply Operations. Key Responsibilities • Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes, • AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team, • Digitalization: Support the digital transformation roadmap by building prototypes, proof-of-concepts, dashboards, Power Apps, and scalable digital solutions, • Integration: Connect automation solutions with existing systems (SAP S/4HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools), • Documentation & Knowledge Transfer: Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period, • Stakeholder Collaboration: Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions, • Continuous Improvement: Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes Required Skills & Experience • Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline, • Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies), • Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents), • Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent), • Familiarity with ERP systems (SAP S/4HANA preferred), • Experience working with APIs, system integrations, and structured/unstructured data sources, • Ability to work independently, manage multiple workstreams, and deliver within tight timescales, • Strong communication skills with the ability to translate technical concepts into business-friendly language for non-technical stakeholders Desirable • Experience in supply chain, logistics, or manufacturing environments, • Familiarity with SAP S/4HANA, APO, OTM, or logistics visibility platforms, • Experience with API integrations and cloud platforms (Azure preferred), • Exposure to Agile or iterative delivery methods, • Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate), • Experience supporting digital transformation or automation initiatives in operational environments Key Competencies • Problem-solving and analytical thinking, • Self-starter with initiative to identify opportunities and drive improvements, • Collaboration across functions, cultures, and geographies, • Delivery-focused with pragmatic approach to solution design, • Ability to balance technical development with operational business needs, • Adaptability and willingness to work in fast-changing transformation environments

Who Are You? An experienced Principal Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead one Phase I-IV clinical studies across your region. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is but always push clinical development forward to what it could be. You motivate others to do the same. Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Biostatistician you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program. Position Overview: Our Principal Biostatisticians provide statistical and development support and influence for the associated client's trials providing expertise into processes, clinical development plans, concept sheets and protocols, as well as potentially providing oversight of work supported by other vendors. You will formulate integrated analytical approach to mine data sources, employ statistical methods, machine learning & deep learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use. Responsibilities As a Principal Biostatistician, your responsibilities will include: • Provide statistical input into planning and analysis of Indirect Treatment Comparison (ITC)., • Support Health Technology Assessment (HTA) dossier submission and negotiation., • Create specifications and perform analyses such as time-to-event and longitudinal analysis., • When in the Lead Biostatistician role for a project: manage biostatisticians and statistical programmers with respect to statistical strategy, deliverables, and processes., • Generate the use of innovative statistical methodology approaches by identifying, adapting, developing, or using optimal statistical research methodologies and techniques appropriate to each project, and contribute internally and externally to the development and visibility of the company and of the Clinical Services department through her/his expertise and customer orientation., • Develop strong collaboration and communication with sponsor cross-functional teams and sponsor Biostatistics management. Qualifications Here at Cytel we want our employees to succeed, and we enable this success through consistent training, development, and support. To be successful in this position you will have: • PhD in statistics or master’s degree in statistics or related subject required along with clinical trial experience., • Relevant experience in statistical or biostatistical analysis supporting HTA activities., • Understanding of the HTA-related guidelines., • Excellent verbal and written communications skills., • Ability to organize multiple work assignments and establish priorities, • Working SAS & R programming knowledge required., • CDISC knowledge required. Experience in R is preferred. Remote Locations: United Kingdom, Spain, Netherlands, South Africa, Ireland, Sweden, Poland, Belgium

🚨 Senior Product Manager – Cybersecurity / AI Analytics 📍 Remote-first (UK) | Preference for candidates able to attend Manchester office occasionally 💰 £80,000–£95,000 + benefits We’re working with a fast-growing cybersecurity technology company building next-generation platforms focused on digital trust, automation and AI-driven analytics. Following strong growth across the UK and US markets, they’re looking for a Senior Product Manager to help shape the future of a cutting-edge platform at the intersection of cybersecurity, machine learning and agentic AI. This is a high-impact role working closely with technical leadership to define product strategy, lead execution, and bring new capabilities to market in an emerging product category. 🔹 What you’ll be doing: • Defining and executing product strategy across multiple platform offerings, • Leading the end-to-end product lifecycle from discovery through launch and optimisation, • Working closely with engineering, data science and commercial teams, • Engaging directly with customers to validate use cases and product direction, • Helping shape APIs, integrations and platform capabilities, • Supporting go-to-market initiatives alongside sales and marketing, • Using analytics, customer insight and market feedback to drive continuous improvement 🔹 What they’re looking for: • Experience building and scaling technical products in cybersecurity, analytics, SaaS or data platforms, • Strong understanding of APIs, ML/AI-driven products and platform architecture, • Proven experience delivering products with strong commercial outcomes, • Comfortable operating in fast-paced, high-growth environments, • A hands-on, collaborative approach with strong stakeholder management skills, • Ability to work through ambiguity and turn strategy into execution 🔹 What’s on offer: ✅ £85k–£90k salary ✅ Remote-first working ✅ Private medical insurance ✅ Enhanced pension contribution ✅ Life assurance ✅ 25 days holiday + birthday off ✅ Learning & development budget ✅ Genuine progression opportunities within a scaling tech business If you’re interested in helping build products in one of the most exciting areas of AI and cybersecurity, feel free to get in touch for a confidential conversation.

Senior Pricing Analyst – Insurance 📍 Manchester (Hybrid – 2–3 days in office) 💰 Competitive Salary & Benefits 🔖 Ref: J13045 We’re working with a leading UK organisation that is transforming its Pricing & Analytics capability. The business is making significant investment in modern tools, technology, and talent to move beyond traditional pricing approaches and build more advanced, data-driven pricing strategies. This is an excellent opportunity to take ownership of high-impact initiatives and play a key role in shaping the future of pricing strategy within a growing analytics function. 🔍 The Role As a Senior Pricing Analyst, you will: • Driving price optimisation strategies that deliver measurable results, • Analysing customer behaviour and response to pricing changes, • Conducting competitor and market analysis to inform decisions, • Enhancing customer lifetime value and profitability, • Partnering with stakeholders to continuously improve pricing performance 📊 What we’re looking for • Experience in insurance pricing, • Strong analytical toolkit (Python, SQL, R, SAS, or similar), • Degree in a numerical or quantitative discipline, • Understanding of risk/demand modelling & statistical techniques, • Exposure to machine learning (a bonus, not essential) Applicants must have the right to work in the UK (no visa sponsorship available). 📩 Interested candidates are encouraged to apply early, as this role may close due to high demand.

Senior / Mid-Level MLOps Engineer Manchester (Hybrid) £45,000 - £80,000 + Bonus A fast-growing AI & Machine Learning consultancy is looking to hire multiple MLOps Engineers as they scale their technical team following continued growth across major public sector and enterprise projects. This is an opportunity to join a highly technical engineering environment focused on building real-world production ML applications, not proof-of-concepts or internal experimentation. You’ll work alongside a team of experienced ML Engineers, Software Engineers and Technical Leads delivering scalable AI systems for customers operating in complex, high-impact environments. What you’ll be doing: • Building and deploying production-grade ML systems, • Working across cloud infrastructure, automation and model serving, • Designing scalable MLOps pipelines and infrastructure, • Collaborating closely with engineers, data scientists and clients, • Contributing to architecture decisions and engineering best practices, • Supporting the deployment and monitoring of ML applications in production Tech environment includes: • Python, • AWS / Azure / GCP, • Kubernetes & Docker, • FastAPI, • Infrastructure as Code, • CI/CD pipelines, • ML frameworks such as PyTorch / TensorFlow What they’re looking for: • Strong Python engineering experience, • Experience deploying ML models into production, • Cloud and containerisation experience, • Excellent communication skills, • Someone who enjoys solving complex technical problems collaboratively, • Consultancy mindset / comfortable working across multiple projects Nice to have: • Experience in MLOps or ML platforms, • Experience in consultancy environments, • Exposure to public sector or regulated environments, • Strong academic background (Master's / PhD beneficial) What’s on offer: • High-performing, deeply technical engineering culture, • Opportunity to work on genuinely impactful AI projects, • Clear progression opportunities as the company scales, • EMI share scheme with strong long-term upside, • Hybrid working (Manchester office), • Collaborative, low-ego team environment If you’re interested in hearing more, apply directly or reach out for a confidential conversation.

The Core Banking Platform is responsible for the systems that process payments, manage accounts, and deliver essential banking functionality. We serve all areas of the Bank that consume transactional data from our Core Banking Systems—supporting colleague and customer journeys, regulatory reporting, and real-time event streaming. Our platform is moving towards a modern, event-driven architecture, leveraging APIs, cloud-native services, and advanced DevOps tooling to deliver secure, scalable, and high-performing solutions. We work closely with partners across the Group, including Data & Machine Learning, Consumer Lending, and Cloud Services, to deliver strategic account data products and enable the next generation of banking services. We’re committed to continuous improvement, modernising our tooling (e.g., migrating from Jenkins to Harness for CI/CD enabling blue-green deployments, adoption of backstage as the Internal Developer Portal) and ensuring our engineers have the skills and support to deliver at pace and scale. About the Role: DevOps Engineer As a DevOps Engineer in Core Banking, you’ll play a pivotal role in designing, building, and supporting the tools and processes that enable our teams to deliver high-quality software at pace. You’ll work collaboratively across engineering, product, and operations teams to ensure our platform is secure, resilient, and continuously improving. What you’ll do: Design, implementation, and maintenance of CI/CD pipelines using industry-standard tools (e.g., Jenkins, Harness Git, Nexus, SonarQube, Docker, Kubernetes). Champion DevOps best practices, including Infrastructure as Code (IaC), automated testing, monitoring, and observability, ensuring compliance with banking regulations and internal security standards. Support the deployment and operation of microservices on both private and public cloud environments, leveraging container orchestration (Kubernetes) and service mesh (Istio) where appropriate. Drive continuous improvement by identifying bottlenecks, automating manual processes, and sharing knowledge across engineering teams. Ensure robust monitoring, alerting, and incident response processes are in place to maintain high availability and reliability of banking services. Foster a culture of collaboration, learning, and inclusion, supporting the professional development of team members and promoting diversity in all its forms. What we’re looking for: Strong engineering background with a deep understanding of DevOps practices, processes, and supporting tools. Experience designing and implementing CI/CD pipelines and associated DevOps tooling (Jenkins, Harness, Backstage, Git, Nexus, SonarQube, Docker, Kubernetes). Proficiency with source control systems (Git), including branching strategies and code review practices. Hands-on experience with cloud platforms (especially GCP), Kubernetes, Docker, and Infrastructure as Code. Familiarity with monitoring, logging, alerting, and SRE concepts (Prometheus, Grafana, ELK, etc.). Experience with test automation tools (JUnit, Cucumber, Selenium, Postman). Knowledge of messaging and streaming platforms (Kafka) and service mesh (Istio). Understanding of network protocols, security best practices, and compliance requirements for banking. Curiosity, adaptability, and a commitment to continuous improvement and inclusive teamwork. Experience with network protocols & security. Exposure to large-scale, regulated environments (preferably financial services). Knowledge of additional DevOps tools and emerging technologies.

• Job title: Procurement Excellence Process Manager, • Location: Manchester (hybrid), • Contract Length: 2 years, • Working Hours: 37.5 hours/week, • Pay Rate: up to £45 p/h DOE About the Role • Ensure all procurement master data is consistently captured and updated in the ERP, to avoid savings leakage, minimize invoice queries, enable material requirement planning and timely supplier payment., • Drive and implement consistent P2P processes implementation/improvements (Level 5work instructions) across all sites to support broader Project Initiatives., • Ensure consistent buying channels are implemented and used., • Increase P2P automation rates. Key Responsibilities • Support harmonization of P2P procedures/processes used across sites in alignment with the GPO S2P and by involving cross-functional teams., • Document and maintain level 5 P2P processes (work instructions) in accordance with GPO guidance., • Ensure users are adequately trained to perform processes in our systems., • Drive and implement Continuous Improvement Work packages., • Drive and implement Procurement Data Strategy to transition and improve all activities related to Procurement master data management (e.g. Material master, Vendor Master, Purchase Infor Record, Source List)., • Ensure continues improving processes in S2P area while maintaining process consistency globally., • Actively participate in the implementation of systems, tools and processes related to data management, data modelling and reporting., • Support completion of relevant Procurement and Supply Chain analytics to help drive efficiencies and support key stakeholders., • Support with maintenance of existing reporting and monitoring tools (dashboards, databases, and KPI’s)., • Perform data validation and testing phases, before promoting solutions to Production/Live environments., • Perform other duties as assigned. Skills/education • Bachelor’s degree Business Information System, Business Administration or other relevant discipline, • Area P2P, AP, Shared Service Environment Level Advanced - 5-10 years, • Area SAP ERP & SAP Ariba Level Highly Experienced - 10+ years, • Understanding of upstream/downstream processes, • Procurement project management experience, • Pharma experience highly desired, • Hands on experience of harmonizing processes and documenting them., • Experience and knowledge of both Operational Procurement and Accounts Payable functions and their needs., • Strong technical knowledge of S2P Processes in SAP ERP & Ariba., • Experience of managing process compliance and continuous improvements., • Business and financial acumen, IT literate, data analytical skills, SAP (ERP, BW), Power BI., • Technical expertise in analytical programming languages like R & Python and hands on experience on data mining/statistical tools like SAS, XLMiner and MatLab., • Understanding or experience of current trends in “Big Data”, “Cognitive Computing” and Machine learning algorithms., • Must have analytical skills and an understanding of system databases, data elements, and application software solutions to maximize data gathering and data analysis., • Comfortable acquiring data independently from primary/secondary data sources and maintaining own customized set of databases/data systems/MySQL.

Lead AI Engineer Hybrid Working on Client Site £90,000 to £110,000 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.

AI Architect (Contract)\n\n📅 Duration: Initial 6 months (with strong extension potential)\n\nAbout the Role\n\nWe're working with a forward-thinking organisation looking to engage an experienced AI Architect on a contract basis to drive the design and delivery of enterprise-grade AI solutions.This role is ideal for a highly skilled consultant who can operate at both a strategic and hands-on level, helping shape AI capability while delivering real, production-ready outcomes.\n\nKey Responsibilities\n\nDefine and implement the AI architecture strategy and roadmap\nDesign scalable, secure, and high-performance AI/ML solutions\nTranslate business requirements into end-to-end AI architectures\nLead the design of data pipelines, model training environments, and deployment frameworks\nImplement best practices for MLOps, CI/CD, and model life cycle management\nEvaluate and recommend AI tools, platforms, and frameworks\nEnsure alignment with data governance, security, and regulatory requirements (e.g. GDPR)\nCollaborate with key stakeholders across data, engineering, and business teams\nProvide technical leadership and architectural oversight across AI initiativesExperience Required\n\nExtensive experience (typically 8-12+ years) in technology, with a strong focus on AI, machine learning, and data architecture\nProven track record of delivering enterprise-scale AI/ML solutions in complex environments\nExperience defining and implementing AI architecture strategies and roadmaps\nStrong hands-on experience building end-to-end AI systems (data pipelines, model development, deployment, monitoring)\nDeep experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architecture\nStrong background in data engineering and large-scale data platforms (e.g., Spark, Databricks)\nExperience implementing MLOps frameworks, including CI/CD and model governance\nExperience integrating AI into microservices, APIs, and enterprise systems\nExposure to advanced AI techniques such as NLP, deep learning, and Generative AI / LLMs\nStrong understanding of AI governance, ethics, and compliance requirements\nProven ability to work in cross-functional, stakeholder-heavy environments\nExperience in a senior or architect-level role, with strong technical leadership capabilityKey Skills\n\nPython (or similar programming languages)\nTensorFlow, PyTorch, or similar ML frameworks\nCloud AI services (Azure AI, AWS SageMaker, GCP AI Platform)\nData technologies (SQL/NoSQL, Spark, Databricks)\nAPI and microservices architecture\nDevOps / MLOps toolingDesirable Experience\n\nExperience with Generative AI solutions (e.g. Azure OpenAI, GPT-based models)\nMicrosoft stack experience (Azure, Fabric, Synapse)\nPrevious consulting or contract experience in enterprise environments\nIndustry experience in [Finance / Retail / Healthcare - tailor if needed]What's on Offer\n\nOpportunity to work on cutting-edge AI initiatives\nHigh-impact role shaping AI strategy and delivery\nFlexible working arrangements\nCompetitive day rate with long-term extension potentialApply Now\n\nIf you're an experienced AI Architect available for your next contract and ready to deliver impactful AI solutions, we'd love to hear from you.\n\nHays 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)

Mechatronics Engineer - Manufacturing & Automation\nLocation: Manchester (Fully On‑Site)\nTeam: 15 Engineers (Mechanical, Electrical, Automation, CI, Quality, Technicians)\nBusiness Size: Over 275 employees\n\nAbout the Company\n\nA leading global manufacturer specialising in electromechanical systems, automation, and precision engineered products. The Manchester site is the company's largest UK engineering hub, offering daily collaboration with highly skilled engineers across multiple disciplines. The organisation is known for continuous innovation, complex engineering challenges, and a culture where learning, curiosity, and adaptability are valued.\n\nThe Opportunity\n\nThis is a hands‑on, design‑focused Mechatronics Engineering role ideal for someone who enjoys solving complex problems, working across multiple engineering domains, and taking products from cradle to grave. The role is challenging and exciting - and here's why:\nA senior engineer recently retired after 20+ years, leaving behind a nearly complete machine with no documentation. One of your first of many major projects will be to reverse engineer the system, understand how it works, and complete the design. An engineer who loves a complex challenge will find this the perfect environment.\n\nKey Responsibilities\n\nLead mechanical design using SolidWorks and AutoCAD\nReverse engineer a machine and complete its development\nDesign, develop, and optimise systems involving sensors, actuators, motors, and embedded components\nContribute to PLC programming (Allen‑Bradley) and automation development\nSupport manufacturing teams with troubleshooting, improvements, and root‑cause analysis\nWork closely with electrical, firmware, mechanical, and quality engineers\nParticipate in continuous improvement initiatives across the engineering function\nProduce technical documentation, drawings, and design specifications\nSupport prototype builds, testing, and validation\nEngage in a fast‑moving environment where priorities and challenges evolve dailyWhat Makes This Role Unique\n\nA rare chance to reverse engineer a complex electromechanical system from scratch\nExposure to high‑level automation, robotics, and PLC‑driven machinery\nDaily collaboration with highly intelligent, multidisciplinary engineers\nA culture that encourages learning, experimentation, and adaptability\nFull lifecycle ownership - from concept to production\nA stable, global business with strong engineering heritage\nDesired Skills & Experience\n\nStrong mechanical design capability - this is the deal‑breaker\nHighly proficient in SolidWorks and AutoCAD\nExperience with PLC / automation systems (Allen‑Bradley preferred)\nBackground in electromechanical design, robotics, or automation\nFamiliarity with Python and basic C\nExperience taking products from concept through to manufacture\nAbility to work in a fast‑changing environment\nStrong problem‑solving and reverse‑engineering mindsetDesirable Backgrounds - Candidates may come from:\n\nMechatronics\nMechanical engineering\nElectrical engineering\nRobotics\nAutomation engineering\nElectromechanical product developmentWorking Environment\n\nFully on‑site role \nFast‑paced first 3 months with constant change, candidates must enjoy this\nSupportive team of 13 engineers with deep technical knowledgeThis role gives you the chance to step into a high‑impact engineering position with a very competitive salary, that will only ever increase. You'll work at the company's largest UK engineering site, surrounded by a highly skilled multidisciplinary team. You'll take ownership of a rare reverse‑engineering challenge with real technical autonomy. If you want fast learning, constant variety and visible impact, this role delivers it. \n\nHays 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)

£30k - £32k base, £10k OTE, health, share options, 28 days holiday plus bank holidays\n\nManchester City Centre\n\nAre you looking for a new role within a company with a great culture? One that is growing and doubling revenues each year? One that values its team and offers share options plus progression opportunities? Then keep reading.\n\nWe are recruiting for a Manchester Scale up within the LegalTech space. They have an award winning SaaS solution that’s driven by AI and Machine learning and delivers effective time and cost savings for their customers. The have doubled their revenues each year and benefit from Series B funding.\n\nThey are looking for an experienced SDR to come and join their successful Sales Development team. The role involves researching potential sales opportunities and building a strong and consistent pipeline of high quality leads and meetings. You will be booking these meetings for the Account Executives to convert and close. You will utilise a number of routes to market in this role including calls, emails social selling and Linkedin as well as qualifying any inbound opportunities that come in.\n\nIf successful in the role, you can progress into an Account Executive position in year 2.\n\nTo be considered for this position you must\n\n- Have 6 months plus outbound sales or recruitment experience\n\n- A track record of success\n\n- Be comfortable generating leads via a multi channel approach\n\n- Ability to thrive in a fast paced scale up environment\n\n- Comfortable working in a target driven environment\n\nIf this sounds interesting, please apply today

Duration: Initial 6 months (with strong extension potential)\n\nAbout the Role\n\nWe're supporting a leading organisation looking to hire an experienced LLM / Generative AI Engineer to design and deliver advanced GenAI solutions.This is a hands-on contract role suited to someone with deep expertise in Large Language Models (LLMs), prompt engineering, and building production-grade GenAI applications. You'll play a key role in delivering innovative AI capabilities that drive real business value.\n\nKey Responsibilities\n\nDesign, build, and deploy LLM-powered applications and GenAI solutions\nDevelop and optimise prompt engineering strategies for performance and accuracy\nImplement RAG (Retrieval-Augmented Generation) pipelines using structured and unstructured data\nFine-tune and customise foundation models and LLMs where required.\nIntegrate GenAI solutions into enterprise systems, APIs, and applications\nWork with data teams to build and optimise vector databases and embedding pipelines\nEnsure solutions are scalable, secure, and production-ready\nImplement monitoring, evaluation, and guardrails for LLM outputs\nCollaborate with stakeholders to translate use cases into technical solutions\nStay up to date with emerging trends in LLMs, GenAI, and AI toolingExperience Required\n\nStrong commercial experience (typically 4-8+ years) in software engineering, data science, or machine learning\nProven experience building and deploying LLM / Generative AI applications in production environments\nHands-on experience with RAG architectures, embeddings, and vector search\nExperience working with LLM APIs and frameworks (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face)\nStrong understanding of prompt engineering techniques and optimisation strategies\nExperience working with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma)\nPractical experience with model evaluation, tuning, and performance optimisation\nExperience integrating AI solutions into APIs, microservices, and front-end applications\nStrong understanding of data handling, preprocessing, and pipeline development\nKnowledge of AI safety, hallucination mitigation, and guardrail implementation\nExperience working in agile, cross-functional delivery environments\nPrevious contract or consulting experience in enterprise settings is highly desirable.Key Skills\n\nPython (essential)\nLLM frameworks (LangChain, LlamaIndex, Semantic Kernel)\nAPI integration and microservices development\nCloud platforms (Azure, AWS, or GCP)\nVector databases and embeddings\nGit, CI/CD, and DevOps practicesDesirable Experience\n\nExperience with Azure AI / Microsoft Copilot stack\nFine-tuning open-source models (e.g., LLaMA, Mistral)\nExperience with multi-modal models (text, image, audio)\nFront-end integration experience (e.g., React-based AI applications)\nExposure to AI governance and responsible AI frameworks\nIndustry experience in [Finance / Retail / Healthcare - tailor as needed]What's on Offer\n\nOpportunity to work on cutting-edge GenAI and LLM projects\nHigh-impact role delivering real-world AI use cases\nFlexible working arrangements\nCompetitive day rate with strong extension potentialApply Now\n\nIf you're a skilled LLM / Generative AI Engineer looking for your next contract and want to work on innovative AI solutions, we'd love to hear from you.\n\nHays 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)

AI Engineer - Job Description\n📍 Position SummaryOur client's AI & Data function focuses on helping organisations solve complex business challenges through the effective use of data, artificial intelligence, and modern technology platforms.The team delivers end-to-end, business-driven solutions that integrate data, technology, and processes across organisations and their wider ecosystems, including partners, suppliers, and customers.The focus is on creating scalable, high-quality, and governed solutions that enable better decision-making, operational efficiency, and digital transformation.\n🚀 The OpportunityAs an AI Engineer, you will work at the intersection of data, engineering, and artificial intelligence to build practical, scalable solutions that deliver real business value.You'll collaborate with cross-functional teams to design, develop, and deploy data pipelines, machine learning models, and AI-enabled applications that support analytics, automation, and insight generation.This role suits someone who enjoys:\n\nWorking with modern data and AI technologies\nDelivering clean, reliable, production-ready solutions\nTranslating business needs into technical outcomes🔧 Key ResponsibilitiesData Engineering & Development\n\nDesign, build, and maintain scalable data pipelines, datasets, and data models\nSupport analytics, reporting, and AI-driven use cases\nWork with both structured and unstructured data sourcesAI & Machine Learning\n\nDevelop and deploy machine learning models for: \nPrediction\nClassification\nAutomation\nInsight generation\nSupport the full life cycle from experimentation through to productionGenerative AI & LLM Applications\n\nDevelop AI-powered solutions using large language models (LLMs)\nApply prompt engineering and context engineering techniques\nBuild use cases such as: \nChatbots\nDocument processing\nAI copilots\nWorkflow automationData Integration & Quality\n\nIntegrate data from multiple internal and external sources\nEnsure data quality, consistency, and reliability across platformsCollaboration & Stakeholder Engagement\n\nWork closely with: \nBusiness Analysts\nData Analysts\nProduct teams\nTranslate business requirements into scalable technical solutions\nCommunicate technical concepts clearly to non-technical stakeholdersTesting, Monitoring & Optimisation\n\nImplement testing, validation, and monitoring processes\nEnsure: \nData accuracy\nModel performance\nSystem reliability\nOptimise pipelines, storage, and models for performance and scalabilityDocumentation & Governance\n\nProduce clear technical documentation (pipelines, models, logic)\nFollow best practices around: \nData governance\nSecurity\nPrivacy\nCompliance🧠 Skills & ExperienceEssential\n\nExperience in a similar role (AI Engineer, Data Engineer, Machine Learning Engineer, or Data Developer)\nStrong programming skills (Python, SQL or similar)\nExperience building and maintaining data pipelines\nWorking with structured and unstructured dataDesirable\n\nExperience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn)\nExposure to Generative AI tools/frameworks (e.g. LLMs, LangChain)\nExperience with cloud platforms (Azure, AWS, or GCP)\nFamiliarity with data platforms, data warehouses, or big data technologiesSoft Skills\n\nStrong analytical and problem-solving ability\nAttention to detail and commitment to quality\nAbility to communicate technical ideas effectively\nExperience working in Agile environments🔐 Additional Requirements\n\nCandidates may be required to undergo background checks or security clearance depending on client/project requirements.🌍 About the TeamYou'll be working within a collaborative technology and data environment focused on delivering transformation for clients across multiple industries.The team combines deep technical expertise with innovative thinking to help organisations modernise their data and AI capabilities, unlock value, and improve outcomes for customers, employees, and stakeholders.\n\nHays 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)

Job title: Procurement Excellence Process Manager\nLocation: Manchester (hybrid) \nContract Length: 2 years \nWorking Hours: 37.5 hours/week\nPay Rate: up to £45 p/h DOE \n\nAbout the Role\n\nEnsure all procurement master data is consistently captured and updated in the ERP, to avoid savings leakage, minimize invoice queries, enable material requirement planning and timely supplier payment.\nDrive and implement consistent P2P processes implementation/improvements (Level 5 work instructions) across all sites to support broader Project Initiatives.\nEnsure consistent buying channels are implemented and used.\nIncrease P2P automation rates.Key Responsibilities\n\nSupport harmonization of P2P procedures/processes used across sites in alignment with the GPO S2P and by involving cross-functional teams.\nDocument and maintain level 5 P2P processes (work instructions) in accordance with GPO guidance.\nEnsure users are adequately trained to perform processes in our systems.\nDrive and implement Continuous Improvement Work packages.\nDrive and implement Procurement Data Strategy to transition and improve all activities related to Procurement master data management (e.g. Material master, Vendor Master, Purchase Infor Record, Source List).\nEnsure continues improving processes in S2P area while maintaining process consistency globally.\nActively participate in the implementation of systems, tools and processes related to data management, data modelling and reporting.\nSupport completion of relevant Procurement and Supply Chain analytics to help drive efficiencies and support key stakeholders.\nSupport with maintenance of existing reporting and monitoring tools (dashboards, databases, and KPI's).\nPerform data validation and testing phases, before promoting solutions to Production/Live environments.\nPerform other duties as assigned. \n\nSkills/education\n\nBachelor's degree Business Information System, Business Administration or other relevant discipline\nArea P2P, AP, Shared Service Environment Level Advanced - 5-10 years\nArea SAP ERP & SAP Ariba Level Highly Experienced - 10+ years\nUnderstanding of upstream/downstream processes\nProcurement project management experience\nPharma experience highly desired\nHands on experience of harmonizing processes and documenting them.\nExperience and knowledge of both Operational Procurement and Accounts Payable functions and their needs.\nStrong technical knowledge of S2P Processes in SAP ERP & Ariba.\nExperience of managing process compliance and continuous improvements.\nBusiness and financial acumen, IT literate, data analytical skills, SAP (ERP, BW), Power BI.\nTechnical expertise in analytical programming languages like R & Python and hands on experience on data mining/statistical tools like SAS, XLMiner and MatLab.\nUnderstanding or experience of current trends in "Big Data", "Cognitive Computing" and Machine learning algorithms.\nMust have analytical skills and an understanding of system databases, data elements, and application software solutions to maximize data gathering and data analysis.\nComfortable acquiring data independently from primary/secondary data sources and maintaining own customized set of databases/data systems/MySQL.Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy

Data Scientist (ML Engineer)\nLocation: Manchester\nSalary: £49,387 to £56,515 per annum\nVacancy Type: Permanent, Full Time\nThe closing date is 18 June 2026\nJob summary\nDo you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making.\nAs an organisation we all collaborate to achieve this goal by empowering our workforce to do great things!\nPlease note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility.\nWe reserve the right to close the advert early should we receive sufficient applications, so please don't delay your submission.\nMain duties of the job\nWe're looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you'll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You'll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight.\nWhat you'll do and bring to the role\n Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production.\n Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities.\n Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI.\n Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions.\n Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches.\n Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues.\nAbout us\nThe Architecture & Data team sits at the heart of NICE's digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes.\nWe can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment.\nWe are passionate and proud of the work we do and the impact we make. NICE offer:\n Generous NHS Pension - Secure your future with one of the most rewarding pension schemes in the UK\n Flexible working - Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times\n Exclusive discounts - Save on shopping, dining and more with a Blue Light CardTime to recharge - Start with 27 days' annual leave plus bank holidays\n Inclusive staff networks - Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud - we celebrate diversity\n Tailored development - Grow your career with personalised learning and development opportunities\nPerson Specification\n Holds highly developed specialist knowledge and expertise acquired through a master's degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development.\n Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically.\n Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products.\n Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making.\n Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams.\nDesirable\n * Artificial intelligence certification.\nDisclosure and Barring Service Check\nThis post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.\nTo Apply\nIf you feel you are a suitable candidate and would like to work for NICE (The National Institute for Health and Care Excellence), please click apply to be redirected to their website to complete your application

You will bring strong capability in:. ML capability with real influence across the business. You will lead the ML Engineering capability, owning the end-to-end delivery of machine learning solutions and helping to build out the wider ML function.

Company Description BAPON Technologies is a leading IT consulting company dedicated to empowering businesses through innovative solutions in intelligent automation, digital integration, and cloud transformation. As a Cyber Essential Plus and ISO 9001 & ISO 27001 certified company, BAPON upholds the highest quality, security, and compliance standards. With a focus on startups and emerging companies, BAPON delivers tailored services including robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), and strategic IT planning to optimize operations and foster growth. The company is also developing SkillfulSense, an AI-powered platform for skill assessment and development. By integrating cutting-edge technologies, BAPON aims to help businesses thrive in the digital era. Role Description This is a full-time, remote role for a Pega Principal System Architect. In this position, you will design, develop, and oversee the implementation of Pega-based solutions aligned with client requirements. You will also lead system architecture design, ensure seamless integration of components, and work closely with cross-functional teams to optimize system performance. The role involves acting as a thought leader in Pega’s best practices while mentoring team members and supporting project goals. Qualifications • Expertise in System Architecture and Systems Design, with a track record of creating scalable and effective solutions, • Strong proficiency in Software Development, including experience with Pega systems and tools, • Proven ability in Systems Engineering, ensuring reliability, performance, and maintainability of IT environments, • Knowledge of Integration and workflows across various platforms to improve system connectivity and functionality, • Strong understanding of Pega methodologies, frameworks, and tools, • Relevant Pega certifications, such as Pega Certified Lead System Architect (CLSA), are highly preferred, • Exceptional problem-solving, communication, and leadership skills, • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field

The role: We are seeking an experienced Senior Data Scientist to develop and deploy predictive analytics and machine learning solutions that deliver measurable business value. This role combines hands-on data science, data engineering, and model deployment, working across the full lifecycle from data acquisition and preparation through to production implementation and monitoring. The ideal candidate will have strong commercial experience building predictive models, working with large datasets, and delivering scalable, production-ready solutions. Exposure to modern AI technologies, including LLMs, is desirable. Responsibilities: • Design, build, and deploy predictive and machine learning models., • Analyse complex datasets to generate insights and support business decision-making., • Develop pricing, forecasting, and predictive analytics models to support commercial optimisation and revenue growth., • Develop and maintain data pipelines and data preparation processes., • Work across multiple data sources to create reliable datasets for analytics and modelling., • Collaborate with engineering teams to deploy and monitor models in production., • Contribute to data science best practices, technical design, and continuous improvement initiatives., • Mentor junior team members and support the growth of internal data science capabilities. Skills & Experience • Significant commercial experience in Data Science, Machine Learning, or Advanced Analytics., • Strong Python skills with experience using pandas, NumPy, Jupyter, and related tools., • Hands-on experience building and deploying predictive models in production environments., • Experience with pricing, forecasting, revenue optimisation, risk modelling, or similar predictive analytics use cases is highly desirable., • Experience designing and maintaining data pipelines and working with large datasets., • Knowledge of SQL and modern database technologies., • Familiarity with cloud platforms, APIs, CI/CD, and containerisation technologies., • Exposure to LLMs, Generative AI, or Natural Language Processing is advantageous., • Excellent analytical, problem-solving, and stakeholder management skills. Ideal Candidate A pragmatic, hands-on Data Scientist who combines strong modelling expertise with practical data engineering experience and can deliver robust, scalable solutions that drive commercial outcomes.

Senior Principal ML Engineer – AI Data Centre Networking & Infrastructure Northwest England | Hybrid | Full-Time Join a next-generation AI infrastructure organisation building one of the most advanced AI-enabled data centre ecosystems in Europe. We are seeking a world-class Senior Principal ML Engineer to lead the convergence of AI, networking, automation, and hyperscale infrastructure across a globally connected enterprise environment. About the Role As the Senior Principal ML Engineer, you will serve as the highest-level technical authority for AI-augmented networking and intelligent infrastructure strategy across enterprise, cloud, and data centre environments. You will work directly with executive leadership, infrastructure architects, security teams, and global engineering organisations to define the future-state architecture supporting AI workloads, edge inference, autonomous remediation, predictive operations, and next-generation connectivity platforms. This role combines deep technical expertise, strategic influence, and industry thought leadership within one of the most demanding and innovative infrastructure environments in the market. Key Responsibilities Technical Leadership & Architecture • Act as the final technical authority on enterprise networking and AI-driven infrastructure architecture., • Own and govern global networking architecture spanning:, • LAN/WAN, • Datacenter fabrics, • Cloud connectivity, • Wireless networking, • Edge and access networking, • Firewalls and secure remote access, • Carrier interconnects and managed connectivity, • Lead cross-domain architectural decisions and executive-level technical escalations., • Define enterprise-wide standards, reference architectures, and best practices across all regions and business units. AI-Augmented Infrastructure & Operations • Lead the integration of AI and ML across networking and operational domains including:, • AIOps, • Predictive analytics, • Autonomous remediation, • AI-driven anomaly detection, • Threat intelligence, • Capacity forecasting, • Configuration intelligence, • Architect infrastructure capable of supporting large-scale AI training and inference workloads., • Advance observability strategies using streaming telemetry, eBPF, intelligent monitoring, and automation-first operational models. Strategic Innovation • Develop and maintain 3–5 year networking and AI infrastructure roadmaps., • Evaluate emerging technologies and provide executive-ready recommendations., • Influence vendor roadmaps and contribute to next-generation infrastructure strategy., • Partner closely with cloud, security, application, and edge architecture teams to accelerate enterprise-wide modernisation. Engineering Excellence & Industry Leadership • Mentor senior and principal engineers across networking, automation, and AI disciplines., • Lead architecture review boards and technical communities., • Represent the organisation externally through:, • Industry conferences, • Technical publications, • Standards participation, • Patents and thought leadership Required Experience We are looking for an exceptional engineering leader with a proven track record operating at hyperscale. Essential Qualifications • Extensive experience in enterprise-scale networking, infrastructure, and security architecture., • 10+ years operating in senior principal, distinguished engineer, fellow, or equivalent executive-level IC roles., • Experience managing global multi-site environments supporting:, • 10,000+ endpoints, • Petabit-scale fabrics, • Mission-critical infrastructure, • Prior experience within a Fortune 50, hyperscale cloud, AI, or advanced technology organisation. Deep Technical Expertise In • Datacenter and enterprise networking:, • BGP / EVPN, • VXLAN, • Leaf-spine architectures, • SD-WAN, • 400G+ fabrics, • Security architectures:, • Zero Trust, • SASE / SSE, • Microsegmentation, • Next-generation firewalls, • Wireless networking platforms:, • Mist AI, • Meraki, • Carrier and managed connectivity:, • MPLS, • VPLS, • Metro Ethernet, • P2P, • SD-WAN, • Hybrid and multi-cloud infrastructure integration, • Infrastructure automation and performance optimisation AI & Automation Experience • Strong experience applying AI/ML to networking operations and infrastructure intelligence., • Understanding of AI infrastructure requirements including edge inference and high-performance compute networking., • Hands-on experience with automation and Infrastructure as Code:, • Python, • Ansible, • Terraform, • GitOps workflows Preferred Qualifications • MSc or PhD in Computer Science, Electrical Engineering, AI, or related discipline., • Active involvement in technical communities or standards bodies:, • IETF, • ONUG, • CNCF Networking SIGs, • Experience operating within regulated or mission-critical sectors such as:, • Finance, • Healthcare, • Critical infrastructure, • Defence What We Offer • Opportunity to shape next-generation AI infrastructure strategy at global scale, • Executive-level influence and visibility, • Access to cutting-edge AI, networking, and automation technologies, • Collaborative environment with elite engineering talent, • Competitive executive compensation package, • Flexible hybrid working model in Northwest England

Senior AI Infrastructure Engineer (OpenStack & Kubernetes) Location: Remote (UK or EU Preferred) Sector: High-Performance GPU Cloud Computing The Opportunity I am representing a fast-growing, international scale-up that is building next-generation GPU cloud infrastructure. This company is the powerhouse behind a high-performance platform designed specifically for the most demanding AI, Machine Learning, and HPC workloads. As they scale their global footprint to meet massive demand, they are seeking a Senior Infrastructure Engineer who enjoys deep technical autonomy. This is a role for a specialist who wants to move fast, solve complex problems, and have direct ownership over the stability and scalability of business-critical systems. What You’ll Be Doing • Owning Infrastructure: Designing, deploying, and operating OpenStack and Kubernetes clusters optimized for multi-tenant GPU workloads., • Driving Automation: Building and maintaining infrastructure-as-code and GitOps practices to ensure seamless scalability., • Optimizing Performance: Enabling reliable workload scheduling through Kubernetes-native tooling, container runtime optimization, and NVIDIA integrations., • Ensuring Resilience: Maintaining high availability and observability through proactive monitoring, logging, and incident response., • Strengthening Security: Implementing strong controls, including RBAC and network policies, to ensure tenant isolation., • Cross-Team Collaboration: Working closely with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs. The Ideal Profile • OpenStack Expert: Significant hands-on experience operating OpenStack in a production environment., • K8s Specialist: Strong experience running production-grade Kubernetes, ideally in bare-metal or private cloud setups., • Systems Generalist: A solid grounding in Linux, networking, and storage with a practical approach to troubleshooting., • Modern Workflows: Experience with infrastructure automation, CI/CD, and Git-based workflows., • Scale-up Mindset: The ability to thrive in a fast-moving environment with a strong sense of accountability. Nice to Have • Exposure to GPU-based infrastructure, large-scale compute platforms, or HPC., • Familiarity with advanced networking technologies., • Contributions to open-source or cloud-native communities. What’s on Offer? • Impact: The opportunity to make a visible, meaningful impact on a platform used by teams running compute-heavy applications., • Flexibility: Flexible working arrangements, including remote or hybrid options., • Growth: Clear career progression and the chance to help shape the company's culture and future., • Culture: A collaborative, transparent, and international culture built on trust., • Benefits: Competitive salary, annual discretionary bonus, 25 days holiday (plus public holidays), and wellbeing benefits.

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Senior Cloud Migration Engineer Experience Level: 7+ years Employment type: Full Time Location: Remote (UK) What you will do: As a Senior Cloud Migration Engineer at Quantiphi, you will be instrumental in our Platform Engineering team, leading the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning for our clients. This role requires experience in workload migration from on-premise datacenter environments to AWS, enabling clients to leverage the full potential of cloud capabilities. Basic Qualifications (BQs): Cloud Migration Expertise: • Understanding of different Migration approaches (Rs) with recent experience., • Experience with on-prem VMware/other platform based Virtual Machine Lift and Shift (REHOST) migration to AWS EC2 instance based architectures., • Previous work experience with tools like Cloud Endure, Double-Take, AWS Migration Hub, AWS Application Migration Service (MGN), AWS Server Migration Service (SMS), and AWS Database Migration Service (DMS). Good to have understanding of Database servers., • Expertise in AWS services, including EC2, S3, auto-scaling, Landing Zone, and Control Tower., • Proficiency in using AWS Migration Evaluator and Portfolio Assessment tools to analyze migration strategies., • Well-versed in service-oriented architecture and cloud-based web services architecture, design patterns, and frameworks., • Good understanding of Windows or Linux OS. Experience with troubleshooting Linux/Windows OS issues while migrating. Good to have handled Database server migrations also., • Strong knowledge of cloud-related services such as compute, storage, network, and messaging (e.g., SNS, SQS). Networking Skills: • Proficiency in setting up and managing hybrid cloud networks, including VPN and AWS Direct Connect., • Experience with configuring Application Load Balancers (ALB) for effective traffic management. Automation and Deployment: • Proficient in scripting languages such as Python and Bash for automating migration tasks and processes., • Familiarity with Infrastructure as Code (IaC) tools, including AWS CloudFormation and Terraform., • Strong understanding of IaC practices using tools like Terraform, CDK, and CloudFormation Templates., • Experience in automating development and testing processes through CI/CD pipelines using tools like Git, Jenkins, SonarQube, Artifactory, and Docker containers. Security and Compliance: • Strong understanding of AWS security best practices, including setting up IAM roles and policies for secure access., • Knowledge of compliance requirements relevant to data handling and migration processes. Configuration Management / Scripting and Programming: • Hands-on experience with scripting and programming languages such as Bash, Python, Core Java, and Scala., • Previous work experience on Configuration management and using tools like Ansible, Chef, Puppet, AWS SSM, etc. Other Qualifications (OQs): • Familiarity on-prem VMware ecosystem such as vSphere, vCenter, ESX, NSX., • Familiarity with vMotion, VM Export/Import and integrating with AWS., • Skills in monitoring cloud infrastructure and application performance using tools like Amazon CloudWatch., • Experience in optimizing database queries and application performance following migration., • Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer)., • Experience with relational SQL, NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)., • Ability to build and manage container hosting platforms using Docker, Kubernetes, AWS EKS., • Familiarity with systems management and automation tools like Puppet, Chef, and Ansible., • Experience working in an Agile and DevOps environment. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Applied AI Scientist | Agents | Up to £120,000 | United Kingdom (Remote) We’re supporting a fast-growing UK technology scale-up that is hiring an Applied AI Scientist to join a highly capable technical team. This is a role for someone who enjoys working at the intersection of machine learning research, software engineering and applied problem solving. You’ll be taking complex AI/ML concepts and turning them into reliable, scalable systems that can be used in demanding real-world settings. It’s a strong fit for someone who wants more than pure research, but still wants the technical depth, mathematical challenge and freedom to explore modern AI approaches. The role As an Applied AI Scientist, you’ll work in a hands-on, delivery-focused engineering environment where you’ll help design, build and improve advanced AI capabilities. You’ll be involved across the full lifecycle, from understanding complex requirements and exploring suitable approaches, through to model development, system integration, optimisation and deployment. This is a practical, highly technical role where strong Python engineering, mathematical rigour and modern AI/ML knowledge are all important. What you’ll be doing You’ll be working on areas such as: • Translating AI/ML research into robust, production-ready solutions, • Designing and implementing machine learning models for complex applied problems, • Building and integrating modern AI systems using techniques such as RAG, LLMs, embeddings, vector search and multi-agent architectures, • Writing clean, performant Python code for production environments, • Working closely with engineering teams to improve architecture, reliability and scalability, • Collaborating with stakeholders to turn ambiguous or complex problems into delivered technical solutions, • Contributing to technical direction, best practice and knowledge sharing across the team What we’re looking for You’ll likely bring: • A strong academic background in a quantitative discipline such as Physics, Applied Mathematics, Statistics, Computer Science or similar, • Excellent Python skills for AI/ML development, • Hands-on experience with frameworks such as PyTorch, JAX, TensorFlow, Scikit-Learn or similar, • Strong mathematical and statistical foundations, • Experience developing ML models or AI systems beyond experimentation, • An ability to work across research, engineering and product-style delivery, • A pragmatic mindset and comfort working in a fast-paced scale-up environment It would be helpful if you also have experience with: • RAG, LLMs, embeddings, vector databases or agent-based systems, • MLOps tools such as MLflow, Kubeflow or similar, • Docker, Kubernetes or containerised deployment environments, • Simulation, optimisation, decision-support or modelling techniques, • Secure development practices, • Working with complex, regulated or high-reliability systems You’ll need to be UK-based, open to occasional travel, and willing to go through standard background/security checks if required. Why consider it? This is an opportunity to join a scaling technology company at an exciting stage of growth, working with a strong technical team on challenging AI problems. The package includes: • Competitive salary and benefits, • Remote UK working, • Access to modern AI tools and infrastructure, • A high-trust culture focused on delivery rather than bureaucracy, • Regular company-wide Fridays off and early Friday finishes, • Around 20 additional days’ worth of time back each year through company days off.