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

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

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

Are you an Insights Analyst who enjoys digging into messy problems, working autonomously, and using data to genuinely improve outcomes for people? I'm hiring for an Insights Analyst to join a purpose-driven organisation delivering services across employability, justice, health, and wider citizen services. This is a hands-on role with a strong focus on Power BI, offering a high level of autonomy and the chance to shape how insight is used across the business. It's ideal for someone who enjoys ownership, investigative analysis, and working in an environment where the work has real social impact. You'll play a key role in helping the organisation understand what's working, what isn't, and why - supporting reviews of service delivery, business processes, and long-term outcomes such as sustainable employment. What you'll be doing • Build and maintain Power BI dashboards and reports, translating raw data into meaningful insight, • Analyse performance and outcomes across services, identifying trends, issues, and opportunities, • Support reviews of how services are delivered and highlight where improvements can be made, • Work closely with stakeholders to understand requirements and turn questions into actionable insight, • Take ownership of insight projects end-to-end, from problem definition through to delivery, • Communicate findings clearly to both technical and non-technical audiencesWhat you bring, • Strong, hands-on experience with Power BI (essential), • Background in insights, MI, business intelligence, or data analysis, • Comfortable working independently and with minimal direction, • Curious, problem-solving mindset - motivated by understanding why things are happening, not just reporting the numbers, • Clear communicator able to explain insights simply and effectively, • Aligned with working in a purpose-led, mission-driven organisation (sector experience isn't essential)Why this role, • High level of autonomy - you'll be trusted to manage your own workload and priorities, • Meaningful work - your insights directly influence services that support people into work and improve life outcomes, • Variety - projects span employability, justice, health, and citizen services, • Hybrid working - just one day a week in the Liverpool office

Job Title: Data Assurance Officer (Fire)Contract Type: Permanent Salary: £37,135.70 Per Annum (£40,985.26 is achieved after 12 months successful performance in the role) Per AnnumWorking Hours: 35 hours per weekWorking Pattern: Monday to Friday, HybridLocation: Speke, LiverpoolIf you share our values and are excited about making a significant impact at Riverside, please ensure you attach a current CV and covering letter. At Riverside we recruit to potential not just on skills and experience, so we encourage you to apply even if you don't meet all the essential criteria on the job description. Please note that whilst we will accept applications on the basis of any form of valid legal permission to work in the UK, we will be surrendering the Riverside Sponsorship licence, so for the avoidance of doubt, we are unable to apply for any further sponsorships whether on behalf of existing colleagues or candidates. The difference you will make as a Data Assurance Officer (Fire) Support in the delivery of the Group’s framework for building safety and compliance data integrity and quality to ensure all the group properties, risks, legal & policy requirements, monitoring data and work flows within our systems ensuring the end to end processing between internal systems, 3rd party systems is effective. Ensure our systems accurately reflect out legal requirements, compliance status and hold appropriate records and evidence. Support our transitional team and delivery teams to ensure all data, documents etc are accurately recorded. Provide training and support to colleagues on systems, processes etc. About you We are looking for someone with: • Ability to interpret business requirements using a variety of data and experience of the analysis of data in the provision of meaningful intelligence • Understanding of IT systems, design, configuration, and ways of working. • Knowledge of computerized Housing Management and Financial Accounting Systems and Asset Management / ComplianceWhy Riverside? At Riverside, we’re a housing association with a difference – enhancing the everyday for all our customers. For 90 years, we’ve been revitalising neighbourhoods and supporting communities by providing the homes they need to live full, fulfilling and rewarding lives. We have a portfolio of over 75,000 affordable residential and retirement homes across the UK. Our work ranges from homelessness services to social care, employment support to retirement living, and we need the best people on board to help us. Working with us, you’ll enjoy: • Competitive pay & generous pension • 28 days holidays plus bank holidays • Flexible working options available • Investment in your learning, personal development and technology • A wide range of benefits Diversity and Inclusion at Riverside: We are inclusive. At Riverside, we value diversity in all its forms. We foster a workplace where all individuals are respected, empowered, and heard. Our commitment to inclusivity drives our success and enriches the lives of our customers and colleagues. Riverside is a Disability Confident Employer and operates a Guaranteed Interview Scheme for any applicant who declares they have a disability. If the applicant meets the minimum requirements for the role (as set out in the role profile and/or person specification) they will be guaranteed an interview.Applications may close before the deadline, so please apply early to be considered.

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

Trainee AI 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 Analyst Location: Tower Quays, Birkenhead - Must live within a commutable distance Salary: £26,000 - £30,000 pa The Data Analyst supports the Client Services project management team by analysing data and identifying trends, providing clients and management with valuable information that will be used to create reports for our water company clients. MAIN DUTIES • Extract data from multiple sources and to produce insights for client reporting, • Input and process data including audit data and customer data connected to client projects, • Cleanse and validate data from multiple pipelines, monitoring data quality and removing corrupt data, • Extract data from various platforms and software systems (currently including Microsoft 365 tools, SharePoint, OneDrive, ShareFile, and project-specific platforms such as Snap Surveys and BigChange JobWatch) and check for issues, • Create and maintain automated workflows using Microsoft Power Automate to streamline data collection, processing, and reporting, • Use the data to forecast trends in relation to client projects, • Perform statistical analysis of audit data for client reporting, • Use Microsoft Power BI to visualise data in easy-to-understand formats, such as diagrams and graphs, • Communicate with stakeholders to understand data content and business requirements, • Attend client meetings are required (typically virtually) The Data Analyst will support the Project Managers and Client Services Director, and will also liaise directly with our clients. SKILLS, EXPERIENCE AND QUALIFICATIONS • Experience in data analysis, business intelligence, or data operations role, • Working knowledge of databases, BI tools, or data visualisation platforms including Power BI, • Working knowledge of automation tools, particularly Microsoft Power Automate, including error handling in automated workflows, • Strong analytical mindset with the ability to interpret complex data and present insights clearly., • Good understanding of information management, data quality principles, and system workflows., • Competent with Microsoft 365 especially Excel and other collaborative digital tools., • Ability to balance multiple tasks, prioritise effectively, and meet deadlines., • Strong communication skills, able to translate technical concepts for non-technical users., • Curious, analytical, and eager to grow technical and sector knowledge., • Strong attention to detail and commitment to accuracy., • Collaborative and approachable, with a user-focused mindset., • Proactive in identifying improvement opportunities and solving problems., • Microsoft Excel, • Microsoft Power Automate, • SharePoint, • OneDrive, • Snap Surveys, • BigChange JobWatch, • WordPress, • Max Contact Dialler This role has previously been advertised. please do not apply again as your details have already been considered INDLS Equals One is an advertising and recruitment agency working on behalf of our client to promote this vacancy. You may be contacted directly by the employer should they wish to progress your application. Due to the number of applications we receive, we are unable to provide specific feedback if your application is unsuccessful.

Power BI Developer Remote + Travel to Liverpool Office Up to £60,000 Your new role As a Power BI Specialist, you will play a key role in helping the business to make data driven decisions. You will be responsible for analysing and interpreting complex data sets, from which you should be comfortable in creating automated Reports and Dashboards to meet the business wider needs. You will need to be eligible to passed Security Clearance. Responsibilities Analyze complex data sets and provide insight to stakeholders Develop and design new reports in Power BI Maintain and optimise existing reports and dashboards Be a champion for Power BI and grow user understanding Collaborate with cross functional teams and stakeholders Advanced Power Query knowledge for data transformation Identify and trouble shoot data and report issues Uphold high standards of data quality Strong analytical and problem-solving skills Ability to work independently and as part of a team. BI tools: Skills in BI tools and BI systems, such as Power BI, SAP, Tableau, etc., creating data-rich dashboards, implementing Row-level Security (RLS) in Power BI, writing DAX expressions, developing custom BI products with scripting and programming languages such as R, Python, etc. Microsoft BI stack: In-depth understanding and experience with Microsoft BI stacks such as Power Pivot, SSIS, SSRS, and SSAS. Data analytics: The ability to drill down data and visualize insights in the best possible way through charts, reports, or dashboards. Experience needed Proven experience in data-specific roles: A minimum experience of two to three years working with BI tools or any data-specific role with a sound knowledge of database management, data modelling, business intelligence, SQL querying, data warehousing, and online analytical processing (OLAP.) Over five years of experience working with Microsoft Business Intelligence Stack having Power BI, SSIS, SSRS, and SSAS, Fabric Lakehouse architecture, Fabric Pipelines, Azure Data Factory Proven experience analysing large complex datasets to create meaningful insights Desirable - experience in Advanced Analytics - predictive and prescriptive analysis Security Check (SC) vetting and clearance will be required 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

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

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

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

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

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

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

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

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

Group Head of Commercial Strategy for rapidly growing operator based in the North West Our client is one the UK’s leading operators in their sector, delivering over £200m EBITDA growth in the last decade. The scale and complexity of their world class operations are breathtaking and have been greatly enhanced by the investment of over one billion pounds since 2016. We are partnering with them on a newly created role of Group Head of Commercial Strategy, reporting directly to their Chief Commercial Officer. This role will act as the “right hand” to the CCO, leading the development and execution of their commercial strategy. It is responsible for translating data, marketing intelligence and strategic thinking into clear, actionable activities that drive revenue growth, portfolio optimisation and long-term value creation. This role sits at the intersection of strategy, analytics, business development and performance management, ensuring our client is proactive, insight-led and aligned to market opportunities. Having previously recruited for the Chief Commercial Officer of the organisation we can say with confidence that they are a dynamic, charismatic leader who gives their team the autonomy to make major decisions and is passionate about their development and growth. This role would suit someone who thrives on challenging themselves, is creative as well as analytical, with the vision to identify significant commercial opportunities and the gravitas to influence C-suite executives to land them.

MANAGING QUANTITY SURVEYOR ABOUT MJ QUINN MJ Quinn is a UK-based infrastructure services provider specialising in delivering comprehensive, end-to-end solutions across a range of industries, including telecommunications, utilities, and mechanical and electrical engineering. Guided by a commitment to quality, innovation, and sustainability, we offer tailored services encompassing design, installation, maintenance, and project management. Partnering with leading organisations, we successfully execute complex projects by leveraging advanced technology and the expertise of our skilled workforce. Our customer-centric approach ensures efficient, reliable service delivery while maintaining our focus on building long-term, sustainable solutions. At MJ Quinn, our purpose is to play a vital role in maintaining and enhancing critical infrastructure, connecting and supporting communities and businesses across the UK. Our Core Values • People-Focused: We prioritise the well-being, growth, and success of our team and partners., • Safety Always Matters: We are unwavering in our commitment to ensuring a safe environment for all., • Operational Excellence: We strive for the highest standards of quality, efficiency, and continuous improvement. DEPARTMENT OVERVIEW MJ Quinn Energy and Critical Infrastructure division is a multi-disciplined integrated service provider headquartered in Liverpool. Specialising in the design, installation, and maintenance of mechanical and electrical systems, our expertise includes energy-efficient solutions like LED lighting, adiabatic and CRAC cooling units, air source heating, solar PV systems, and battery storage. JOB OBJECTIVE Lead the quantity surveying team in overseeing commercial aspects of engineering projects, ensuring effective contract management, financial control, and value optimisation. KEY ROLES AND RESPONSIBILITIES · Strong leadership and mentoring capabilities · Accountability and ownership · Emotional intelligence, fostering trust and cooperation among team members and stakeholders. · Adaptability and resilience in handling multiple projects and shifting priorities. · Integrity and professional ethics in contractual dealings and reporting. · Dedication to continuous professional development and staying abreast of industry changes. PERSON SPECIFICATION · In-depth understanding of industry standards, regulations, and best practices in commercial management. · Awareness of construction costs, and industry developments. · Proficiency in commercial management software and tools · Exceptional analytical and numerical skills with meticulous attention to detail. · Demonstrable experience of commercially managing complex projects using NEC and JCT. · Highly effective communication and negotiation skills, with the ability to build and maintain relationships. · Outstanding organisational and time management skills, managing multiple tasks and priorities. · Advanced conflict resolution, emotional awareness and resilience in handling challenging situations. Occasional travel Benefits Free car parking, 2 x death in service benefit, healthcare plan, cycle scheme & company contribution pension scheme, enhanced maternity and paternity DIVERSITY STATEMENT MJ Quinn is committed to promoting an environment that values diversity. All staff are responsible for ensuring that all employees, customers, suppliers, and visitors are treated equally and fairly and not discriminated against on the grounds of age, disability, gender reassignment, marriage & civil partnerships, pregnancy & Maternity, race, religion or belief, sex, or sexual orientation. MJ Quinn welcomes applications from a diverse range of candidates regardless of their background, disability or gender and is committed to creating a workforce as diverse as the communities we serve.

Senior Resourcer Liverpool (hybrid) Everpool Recruitment is a growing specialist recruitment consultancy, recognised for delivering high-quality, people-first recruitment solutions across the UK. We are now looking for an ambitious Senior Resourcer to join our Commercial Division. At Everpool Recruitment, what matters most is your values, resilience, and motivation to make a difference. A career in recruitment is rewarding, fast paced and impactful, but it also requires determination, organisation and emotional intelligence. What You’ll Be Doing As a Senior Resourcer, you’ll be supporting and managing the full recruitment lifecycle, including: • Sourcing and engaging candidates across a variety of roles including marketing, sales, tech, office & commercial, • Screening and interviewing candidates to understand skills, motivations and values, • Advertising roles across job boards and social media platforms (Indeed, LinkedIn, CV databases), • Building long-term candidate relationships and talent pipelines, • Working closely with clients to understand workforce needs and job requirements, • Managing compliance, references, and onboarding processes, • Keeping accurate records using our Applicant Tracking System (ATS), • Learning hiring trends and staying up to date with industry news What We’re Looking For We’re looking for people who are: • People-focused, empathetic, and relationship-driven, • Confident communicators (written and verbal), • Resilient, motivated, and comfortable working towards targets, • Organised, proactive, and able to manage multiple priorities, • Some experience within recruitment is ideal. What We Offer • Full training programme with ongoing coaching and support, • Competitive basic salary + uncapped commission scheme, • Clear career progression into Recruitment Consultant, Team Leader or Management, • Industry-leading recruitment tools and technology, • Supportive, values-led team culture focused on quality over volume, • Opportunity to build a long-term career in a stable, specialist sector

Full‑Stack Engineer Location: Remote (UK Based) Salary: Up too £50,000 We're working with a high-growth SaaS company building an AI-powered operational intelligence platform used by enterprise clients across process and governance-heavy industries. They're a focused, engineering-led team scaling a modern TypeScript stack across a multi-tenant product with AI-driven analysis, structured workflows, and robust access control. They're now looking for a Full-Stack Engineer with strong backend fundamentals to help build and maintain their core platform. What You'll Do • Build and extend REST APIs using Node.js, Express, and TypeScript, • Work with MongoDB, maintaining schemas and data models, • Integrate AI analysis results via async workflows and webhooks, • Maintain authentication, authorisation, and role-based access control, • Build and improve frontend features using React + TypeScript What We're Looking For • 2 years + experience in backend or full-stack development, • Strong backend fundamentals and experience with Node.js + TypeScript, • Ability to build frontend features with React and modern CSS, • Solid understanding of debugging, testing, and performance optimisation, • Comfortable working collaboratively in a remote environment, • Familiarity with cloud platforms and modern dev tooling is a plus Nice to Have • Experience with AI-integrated workflows, • Exposure to multi-tenant SaaS platforms, • Understanding of RBAC, authentication, or workflow engines This is a great opportunity for an early-career engineer to work across a modern TypeScript stack, contribute to a real SaaS product, and help shape an AI-powered operational intelligence platform used by enterprise clients across process and governance-heavy industries.

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

Founding Engineer – AI/ML (Stealth Start-Up) Location: Fully Remote (UK) Salary: £120,000 + 1.25% equity Company Overview: A stealth-mode e-commerce AI start-up is building a conversational AI sales agent that acts like a knowledgeable in-store salesperson online. Unlike static browsing or basic recommendation systems, this AI engages in real conversations, understands product attributes, compatibility, visual features, and domain expertise, and provides genuinely expert guidance. Every interaction generates high-intent data on customer needs, objections, and unmet demand. This intelligence powers segmentation, product development, and personalisation — far beyond traditional analytics. Long-term, the company is building the cognitive core for future robotic sales agents: the mind that makes expert guidance possible. The founding team brings deep experience: one founder is a 3x founder, investor, and executive with 14+ years building software, consumer, and supply chain start-ups, and the other is an ex-FAANG engineer with deep technical expertise. Role Overview: As the Founding Engineer – AI/ML, you will be at the forefront of developing the intelligence that powers the AI agent. You will design, build, and scale the AI models, data pipelines, and cognitive systems that drive conversational recommendations and insights. This is a unique opportunity to shape the core AI and influence the company's product strategy from day one. Responsibilities: Design, develop, and optimise AI/ML models for conversational understanding, product recommendation, and decision-making. Build pipelines and systems to capture and leverage high-intent customer interaction data. Collaborate closely with founders to define technical roadmap and product strategy. Contribute to designing the memory, reasoning, and cognitive architecture for expert-level AI guidance. Implement scalable solutions that can operate in real-world commerce settings. Requirements: Strong expertise in AI/ML, NLP, and recommendation systems. Proven experience building scalable AI systems end-to-end. Ability to work in an early-stage, high-autonomy environment. Interest in product intelligence, customer experience, and cognitive AI systems. Excellent problem-solving skills, growth mindset, and passion for building cutting-edge AI. Perks & Benefits Competitive salary: £120,000 + 1.25% equity Fully remote within the UK Ground-floor opportunity in a stealth start-up Significant impact on AI architecture, product strategy, and company direction

We are looking for a hungry, motivated Pre-Sales / Sales Engineer to join our team and help us expand across the international market. If you love cybersecurity, enjoy being the bridge between complex tech and business needs, and want to leave your mark in a fast-growing AI startup that is actively disrupting the SOC landscape, this role is for you. Who RedCarbon is: RedCarbon, a European AI cybersecurity scale-up founded in 2020 by IT security experts with over two decades of experience, is on a mission to revolutionize security operations. We pioneered the concept of the Virtual Cyber Analyst, bridging the gap between human expertise and automated intelligence. Our AI Agents are meticulously designed to combat alert fatigue, automate intricate threat analysis, and enable human analysts to concentrate on the most critical aspects of their work. Who you are: • A Tech Translator: You have a solid background in cybersecurity operations and know how to deliver killer, hands-on product demos., • A Systems Thinker: You easily grasp complex customer infrastructures and incident management workflows. You understand the intricate relationships between different security technologies and know exactly how to seamlessly position and fit the RedCarbon platform into any existing environment to empower cybersecurity response., • Native English Speaker: Flawless communication is key. You must be a native English speaker, capable of handling high-level technical presentations and articulating complex concepts to C-levels effortlessly., • Driven & Dynamic: We are looking for high energy and motivation. You prefer the fast-paced, high-impact environment of a scale-up over the slow corporate ladder., • Remote Champion: You are self-driven, highly organized, and thrive in a 100% fully remote environment. What you'll do: • Lead technical demos of the RedCarbon platform for C-levels, SOC Managers, and MSSPs., • Understand customer needs and workflows to design the best option for fitting the RedCarbon platform into their environment., • Handle technical objections and prove the value of our AI Virtual Analysts., • Work closely with the Sales team to close deals and with the R&D team to provide market feedback. What we offer: • Competitive salary., • 100% Fully Remote working arrangement., • The chance to grow rapidly inside a well-funded, ambitious AI startup.

We are only accepting applications through the LinkedIn Easy Apply process, please do not send any direct emails or messages, they will be ignored! Technical Lead / Platform Engineer — Stoc (Contract → Full-time) Stoc is a product intelligence platform for retail. We use computer vision and AI to monitor coolers and shelves in real time — planogram compliance, stockout detection, and demand intelligence at scale. We've just built a new AI analytics platform and are preparing to take it to market. Now we need someone to own it technically. What you'll be doing • Managing and improving a modern full-stack web platform, • Handling bug fixes, performance improvements, and feature builds, • Introducing enterprise-grade practices: security hardening, automated backups, Git workflows, environment management, • Leading infrastructure migration to a production-grade hosting environment, • Being the technical point of contact for infrastructure and vendor integrations What we're looking for • 2–4 years building and shipping real products, • Strong full-stack web development fundamentals, • Comfortable using AI coding tools (Cursor, Claude Code, or similar) — this is a must, not a nice-to-have, • Has managed a production app, not just built one, • Self-directed — you won't have a team to lean on yet, • Hungry to grow into a lead engineering role as we scale The setup Contract to start, with a clear path to full-time as we build out our engineering org. Remote-friendly. Small, fast-moving team — real ownership from day one. If this sounds like you, send a short note about something you've built and managed in production. We are only accepting applications through the LinkedIn Easy Apply process, please do not send any direct emails or messages, they will be ignored!

Hiring: Intelligence Architect | Software Engineering → Architecture → AI | London / Remote Conquer AI is hiring an Intelligence Architect to help design and deliver AI systems for enterprise clients. This is a client-facing role for someone who started their career in software engineering, built strong technical depth, and has since moved into architecture, AI, and solution design. We are not looking for data scientists who have moved sideways into AI. We are looking for people who come from an engineering-first background and understand how to turn real operational problems into working systems. The role You will work with clients from discovery through to delivery. That means: leading discovery sessions and technical workshops understanding business processes, operational pain points, and technical constraints shaping solution architecture across AI, APIs, data sources, integrations, and governance translating ambiguous problems into clear technical approaches working closely with engineering teams to deliver production-ready systems giving clients confidence through clear, credible technical leadership This role sits between engineering, architecture, and client engagement. It needs someone who can think clearly, communicate well, and stay close enough to delivery that solutions actually get built properly. What we’re looking for strong background in software engineering moved into architecture, technical design, or solution ownership over time experience working with AI systems, LLMs, intelligent workflows, or related technologies in real delivery environments comfortable owning technical conversations with clients and stakeholders able to operate well in ambiguity and bring structure to open problems confident working across discovery, design, and delivery strong judgement, strong communication, and a high bar for quality This role is likely a fit if you have started as a backend, full-stack, platform, or solutions engineer gone on to lead architecture or end-to-end technical design worked directly with clients, users, or senior stakeholders helped shape systems, not just build tickets experience delivering in fast-paced environments where ownership matters This role is not for recent graduates early-career engineers purely academic or research-led AI profiles data scientists without strong software engineering foundations candidates who have used AI tools but have not designed and delivered real systems Location We are based in London, UK, but this role can be remote for the right person. If this sounds like you, or someone you know, get in touch.

Bid Manager\n\nLocation: Based in Liverpool (Hybrid working - 2 days in the office 3 at home per week). Manchester is an option with the requirement to be in Liverpool each Monday.\n\nSalary: Competitive with excellent benefits\n\nThe Role\n\nWeightmans is a leading law firm with strong international capabilities, recognised for its collaborative culture and ambitious growth agenda. With more than 1,600 people working from offices in Birmingham, Cardiff, Glasgow, Leeds, Leicester, Liverpool, London, Manchester, Newcastle and Nottingham, Weightmans’ vision is clear: to be a Top 30 law firm which sees the possibility for their people and clients.\n\nThey currently seeking an experienced Bid Manager to join their established team where you will play a central role in driving new business, strengthening client relationships and supporting the firm’s strategic growth ambitions.\n\nThis is a high‑profile, influential position within Weightmans’ Marketing and Business Development function, which spans business development, communications, CRM, events, profile‑raising and strategic projects.\n\nThe successful candidate will lead and continuously improve the firm’s tender and pitching activity, working closely with Partners and senior stakeholders across all practice areas. This role offers the opportunity to shape strategy, influence outcomes and see a clear connection between individual contribution and firm‑wide financial performance.\n\nBid Manager Key Responsibilities:\n\n * Control, develop and manage Weightmans’ tender and pitching process in conjunction with Tender Managers and Business Development Executives.\n\n * Act as a coach and mentor to those involved in tenders, pitches and presentations.\n\n * Monitor resourcing for emerging bids and build intelligence on when key clients and prospects are likely to go out to tender.\n\n * Develop and implement an effective bid process so that Partners understand procedures and available support.\n\n * Create and maintain a knowledge bank of standard and frequently used bid content.\n\n * Coordinate the production of all bids and pitches, including panel review activity.\n\n * Manage bid and presentation content in line with Weightmans’ corporate standards.\n\n * Work closely with the Business Development team to identify appropriate Partners and fee earners for each opportunity.\n\n * Produce regular and ad hoc reports on bid and pitch performance, including wins, losses and new business enquiries.\n\n * Conduct client feedback meetings to gather insight and inform continuous improvement.\n\n * Track competitor activity and market intelligence.\n\n * Support wider business development and marketing projects as required.\n\nBid Manager Skills & Experience:\n\nThe successful candidate will demonstrate strong experience in bid management and a genuine interest in bidding and pitching within a professional services environment. If you have experience of bidding within a Law Firm this would be advantageous.\n\nKey requirements include:\n\n * At least five years’ bid management experience in a B2B services environment, including a minimum of two years in professional services.\n\n * Strong analytical skills with a high level of commercial awareness.\n\n * A proactive, self‑starting approach, with the ability to develop ideas and solutions independently.\n\n * Excellent project management, organisational and time management skills.\n\n * Strong influencing and stakeholder management skills, including the ability to operate effectively at Partner level without direct line management responsibility.\n\n * A confident, resilient and assertive communication style.\n\n * Excellent written, verbal and presentation skills.\n\n * Flexibility to travel between Weightmans offices and to client sites as required.\n\nWhy Join Weightmans?\n\n * Strategic impact – Lead the firm’s tender and pitch process, directly influencing new work wins and long‑term client relationships.\n\n * Senior exposure – Work closely with Partners and senior fee earners across the firm as a trusted adviser on bids, pitches and presentations.\n\n * Autonomy and ownership – Shape processes, embed best practice and bring fresh thinking to how Weightmans positions itself in the market.\n\n * People development – Coach and mentor colleagues, helping to raise capability and confidence across the firm.\n\n * Variety and challenge – From strategic panel submissions to fast‑paced opportunities, no two bids are the same.\n\nTo apply for this Bid Manager role, please contact Lisa Easthope at Bid Solutions for details

Nurturing Primary Teacher (Ages 7-10, SEMH Needs)\n\nAre you a compassionate, creative and patient teacher who believes every child deserves to feel seen, safe, and celebrated? We're looking for a Primary Teacher to join our warm, supportive team, teaching pupils aged 7-10 years with social, emotional and mental health (SEMH) needs.\n\nWe are looking for you to create a nurturing environment where emotional wellbeing and trust are at the heart of learning. Through small class sizes, strong teamwork and a holistic approach, you'll help each child find joy in learning, build confidence, and develop the skills they need to thrive.\n\nWe're looking for someone who:\n\n * Brings patience, empathy and emotional intelligence to every interaction\n\n * Can create a calm, structured, and inspiring classroom\n\n * Believes that behaviour is communication and responds with understanding\n\n * Enjoys working collaboratively as part of a multi-professional team\n\n * Is ready to celebrate every small step of progress\n\nIn return, we offer:\n\n * A close-knit, caring community of colleagues who truly support one another\n\n * Regular training and wellbeing support\n\n * Time and resources to put relationships and creativity first\n\n * The chance to make a lasting difference in children's lives every single day\n\nIf you have a gentle heart, a resilient spirit, and a passion for helping children grow-not just academically, but emotionally-we'd love to hear from you.\n\nApply now and help us build a place where every child can belong and believe in themselves.\n\nThis is a long term position with the opportunity to secure a permanent position directly with school

Job Title: Skills Coach – Level 4 AI Practitioner Apprenticeship\n\nLocation: Homebase – One afternoon a week in Liverpool\n\nOverview:\nWe are looking for an experienced and motivated Skills Coach to support apprentices enrolled on the Level 4 AI Practitioner Apprenticeship. The successful candidate will guide learners through their apprenticeship journey, supporting them to develop the knowledge, skills, and behaviours required to succeed in roles involving artificial intelligence, data, and emerging technologies.\n\nThe role involves coaching apprentices, tracking progress, working closely with employers, and ensuring learners achieve timely completion of their programme.\n\nKey Responsibilities\n\n * Deliver online coaching sessions to apprentices undertaking the Level 4 AI Practitioner Apprenticeship.\n\n * Support learners to develop skills in AI fundamentals, data handling, machine learning concepts, and ethical use of AI.\n\n * Monitor apprentice progress against apprenticeship standards and ensure timely achievement of milestones.\n\n * Conduct regular progress reviews with apprentices and their employers.\n\n * Provide feedback on assignments, portfolios, and practical tasks.\n\n * Support apprentices in developing their knowledge, skills, and behaviours (KSBs) aligned with the apprenticeship standard.\n\n * Ensure apprentices are prepared for End-Point Assessment (EPA).\n\n * Maintain accurate learner records and compliance documentation in line with ESFA funding rules.\n\n * Identify any learning support needs and provide appropriate guidance or signposting.\n\n * Build strong relationships with employers to ensure workplace learning aligns with programme outcomes.\n\n * Stay up to date with developments in AI technologies, digital skills, and apprenticeship delivery practices.\n\nEssential Requirements\n\n * Experience delivering or supporting apprenticeships or work-based learning programmes.\n\n * Knowledge of Artificial Intelligence concepts, data analysis, or digital technologies.\n\n * Experience coaching, mentoring, or supporting learners in a professional or training environment.\n\n * Strong organisational and communication skills.\n\n * Ability to manage a caseload of apprentices and support them through to completion.\n\n * Understanding of apprenticeship standards, compliance, and progress monitoring.\n\nDesirable\n\n * Teaching or training qualification (e.g. PTLLS, AET, CertEd, PGCE).\n\n * Assessor qualification (CAVA, TAQA, or equivalent).\n\n * Industry experience in AI, data, or digital technologies.\n\n * Experience using e-portfolio systems and online learning platforms

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

Stax is partnering with a venture-backed (Series A) AI company building advanced virtual agents designed to automate complex operational workflows for enterprise organisations. Following recent investment and strong early traction, the company is entering an exciting phase of growth and expanding its engineering team to support the next generation of its platform. Revenue increased by 400% in Q4 2025, and the company is targeting a further 4x increase in revenue as it continues to scale. The leadership team includes engineers and researchers from organisations such as Apple, Oxford University, and Cambridge University, bringing together deep technical expertise and world-class research backgrounds. Their platform enables organisations to deploy intelligent agents capable of learning, adapting, and executing real operational processes. At the heart of this vision is a platform that allows these agents to be trained, evaluated, and continuously improved as they interact with real-world workflows. The company is now hiring an AI Engineering Manager (Agentic) to lead the development of this core platform and help define the architecture behind the next generation of intelligent automation systems. This role will report directly to the CTO and lead a team focused on building and scaling the company’s agent platform. The Opportunity This is a senior technical leadership role focused on shaping the systems that enable intelligent agents to learn, evolve, and operate reliably in production environments. You will work closely with engineering and product leadership to define the technical direction of the platform while leading a team of experienced engineers responsible for building and scaling it. This is an opportunity to play a key role in defining the architecture behind a rapidly evolving AI platform and to help shape the future of intelligent automation. Technology Environment The platform sits at the intersection of AI systems, automation, and scalable platform engineering, typically involving technologies such as: • Large language model–driven systems, • AI-assisted automation and orchestration, • Intelligent workflow systems, • Data pipelines and evaluation frameworks, • Distributed platform architectures What We’re Looking For Core Experience • Strong experience building complex software platforms or distributed systems, • Experience working with AI-driven or automation-focused products, • Ability to define and deliver technical vision for a platform or product area, • Experience leading or mentoring senior engineering teams, • A strong systems-thinking and platform engineering mindset Additional Experience • Experience in high-growth technology environments, • Exposure to enterprise-scale software systems, • Familiarity with automation, workflow platforms, or AI evaluation approaches Why This Role Matters This platform sits at the centre of how the company’s technology evolves. Every system built and every workflow automated contributes to improving the intelligence and capability of the platform. Building the right architecture will enable the product to scale efficiently while continuously improving over time. This role offers the opportunity to shape that foundation and have a meaningful impact on the future direction of the technology. Apply If you're excited about shaping the architecture behind next-generation AI platforms and tackling complex technical challenges, we’d love to hear from you. Apply directly or reach out to Stax for a confidential conversation. Due to the high volume of applications we receive, we may not be able to respond to every applicant individually. However, we will endeavour to contact candidates whose experience most closely aligns with the requirements of the role.

About the Role We’re partnered with a growing, data-led technology business that is scaling its data capabilities and investing heavily in how data is structured, accessed and used across the organisation. We are looking for a Data Analyst with experience in Analytics Engineering & BI Development with strong SQL expertise at the core of their skillset. This role sits at the intersection of data engineering and business intelligence, combining hands-on data transformation with impactful reporting and visualisation. You’ll play a key role in shaping how data is modelled, consumed and leveraged by teams across the business, enabling better and faster decision-making. The Opportunity This role is ideal for someone who: • Enjoys working deeply with data using SQL, • Wants ownership over how data is structured and delivered, • Is comfortable bridging technical and business teams, • Likes seeing their work directly influence commercial and operational decisions Key Responsibilities • Design and develop scalable data models within a cloud-based data warehouse, • Write, optimise, and maintain complex SQL queries for data transformation and analysis, • Build clean, reliable datasets to support reporting and analytics use cases, • Develop dashboards and reports using modern BI tools, • Translate business requirements into clear, user-friendly data outputs, • Partner with stakeholders across product, commercial, and operations teams, • Implement data quality checks to ensure accuracy and consistency, • Improve performance of queries, pipelines, and reporting outputs, • Identify opportunities to automate and streamline data processes What We’re Looking For Core Experience (Essential) • Strong SQL skills (this is critical) — proven ability to write complex queries (CTEs, window functions, optimisation, performance tuning), • Experience building and maintaining data models for analytical use, • Background in a BI / Analytics Engineering / Data Analyst type role, • Hands-on experience with at least one major BI tool (e.g. Tableau, Power BI, Looker, etc.), • Experience working with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks), • Understanding of ETL/ELT processes and data transformation workflows, • Experience working with non-technical stakeholders and translating requirements Nice to Have • Experience with modern data transformation tools (e.g. dbt or similar), • Exposure to workflow orchestration tools, • Familiarity with version control (e.g. Git) Key Skills & Attributes • Highly analytical with strong problem-solving ability, • Excellent attention to detail, particularly around data accuracy, • Strong communication skills — able to explain complex data clearly, • Commercial awareness and ability to link data to business outcomes, • Proactive mindset with a sense of ownership, • Collaborative approach, working effectively across teams The Package • Up to £65K base salary, • Private Health and Dental, • Generous Pension scheme, • Income protection, • Many other great benefits... Why Join? • Opportunity to shape and influence a growing data function, • High-visibility role with direct impact on business decisions, • Modern data stack and strong investment in data capabilities, • Flexible working environment (remote or hybrid available), • Collaborative, forward-thinking culture, • Vast amounts of career opportunities

Company Description MyCardium AI leverages advanced artificial intelligence to revolutionize cardiac imaging and diagnostics. Established in 2022 as a spin-out from University College London (UCL), the company was founded by renowned cardiologists and imaging researchers. MyCardium AI’s innovative solutions, including 1CMR Pro and EchoConfidence, merge human oversight with AI capabilities, enabling faster and more precise cardiac assessments. Headquartered in Liverpool, UK, our technology is utilized globally across hospitals, research programs, and clinical trials. MyCardium AI is dedicated to enhancing patient care, reducing clinician workload, and advancing the understanding of heart disease worldwide. Role Description We are seeking a highly skilled and clinically experienced Clinical Application Specialist in Echocardiography with a specific focus on AI-powered analysis and reporting solutions. This role is critical in supporting the implementation, adoption, and optimisation of EchoConfidence, an echocardiography AI software that improves diagnostic accuracy, streamlines workflows, and enhances reporting efficiency. You will work closely with clinical teams, providing expert-level training, technical support, and workflow consultation, ensuring seamless integration of AI solutions into daily clinical practice. Your deep understanding of echocardiographic imaging, combined with your ability to bridge the gap between technology and clinical application, will enable you to deliver significant value to our customers. Experience working as a Clinical Applications Specialist within Echocardiography is strongly desired. Salary: £55k-75k dependent upon experience. Location: Remote Qualifications and skills required: • BSc in Clinical Physiology, Biomedical Sciences or equivalent with appropriate post BSc (or equivalent) experience, • Registered Diagnostic Cardiac Sonographer – Adult Transthoracic Echo Accreditation (BSE or EACVI equivalent), OR certification of Specialist training in Cardiac Echocardiography and Vascular Ultrasound (e.g Valid Cardiovascular Credentialing - Validation Certificate, The American Registry for Diagnostic Medical Sonography® ARDMS®)., • Minimum 3 years of clinical echocardiography experience in a clinical setting, with proficiency in performing and interpreting echocardiography studies., • Proven ability as a clinical educator to diverse healthcare professionals., • Excellent communication, interpersonal, and presentation skills. Desirable Experience and Skills: • Highly desirable is experience working as a Clinical Applications specialist within the Echocardiography space., • Prior experience working with AI-driven clinical software, imaging informatics, or decision support tools., • Familiarity with data integration and healthcare interoperability standards (DICOM, HL7, FHIR)., • Experience with cardiology PACS systems and electronic medical records (EMRs)., • Understanding of healthcare regulations including HIPAA, GDPR, and patient data security standards., • Ability to adapt to fast-paced, technology-driven environments., • Willingness to travel frequently including occasional international travel if required. Key Responsibilities: 1. Clinical Training and Support: • Deliver in-depth, hands-on training sessions for cardiologists, sonographers, and clinical staff on the effective use of EchoConfidence AI-powered echocardiography analysis and reporting software., • Tailor training programs to the unique needs and workflow of each clinical site, ensuring users are confident in both the clinical and technical aspects of the software., • Provide ongoing clinical support post-implementation, including refresher training, software updates, and advanced super user training. 2. Workflow Integration and Optimisation: • Analyse existing echocardiography workflows and collaborate with clinical teams to seamlessly integrate EchoConfidence into daily clinical or research practices., • Recommend best practices by promoting and assisting in optimising image acquisition to better assist EchoConfidence to perform measurements with the best possible precision, reporting efficiency, and diagnostic consistency., • Support customisation of reporting templates and ensure interoperability with hospital systems (PACS, EMR, cardiology information systems). 3. Product Demonstration and Pre-Sales Support: • Collaborate with commercial teams to demonstrate the clinical and operational value of the software to prospective clients., • Conduct detailed product presentations, live demonstrations, and clinical consultations to support the wider commercial teams and sales process., • Serve as both a clinical subject and 1EchoCofidence expert in customer-facing engagements, conferences, and industry events. 4. Customer Success and Relationship Management: • Build and maintain strong, long-term relationships with key clinical and academic stakeholders., • Act as the primary clinical contact for customer feedback, user experience improvement, and post-sale support., • Proactively monitor software adoption and work to resolve any barriers to optimal use. 5. Collaboration and Product Feedback: • Work closely with product managers, AI engineers, and software developers to relay customer feedback, clinical requirements, and workflow improvement opportunities., • Participate in usability testing, product validation, and the development of clinical support materials. 6. Market and Clinical Intelligence: • Stay current with the latest echocardiography techniques, AI advancements, clinical guidelines, and regulatory changes., • Continuously develop clinical expertise and technical skills related to AI in cardiac imaging. Key Attributes for Success: • Strong clinical credibility combined with a passion for innovation., • Excellent interpersonal skills and ability to build relationships with diverse clinicians, • Problem-solver mindset with a proactive approach to customer support., • Ability to translate complex AI concepts into clinically meaningful benefits. · MyCardium AI is an equal opportunity employer committed to fostering an inclusive environment where diversity is valued. All employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or any other characteristic protected by law

Clinical AI Author – Specialist Physicians (ACAI Program | United Kingdom) Company MetaQare Global Holdings Location: Remote (United Kingdom) Type of Collaboration: Consulting / Independent Professional Engagement Company Address: MetaQare Global Holdings 254 Chapman Rd, Ste 208 #24871 Newark, Delaware 19702, USA Position Overview MetaQare is selecting a limited group of 100 highly respected and influential specialist physicians in the United Kingdom, including Consultants, Clinical Leads, Heads of Department, Medical Directors, Academic Clinicians, and recognised clinical opinion leaders, to join its international program Authors of Clinical AI (ACAI). ACAI is an elite global medical collaboration in which experienced physicians contribute their clinical reasoning, guideline-based expertise, and real-world medical judgment to the development of transparent, explainable, and evidence-based Clinical AI decision models. This is not a traditional employment position. It is a high-level professional collaboration designed for senior physicians with established clinical authority who seek intellectual leadership, international visibility, and lasting impact in the evolution of Clinical AI. Participants act as Clinical AI Authors, directly shaping a new generation of physician-led, ethically grounded clinical intelligence. Your Role as a Clinical AI Author As a Clinical AI Author, you will assume a senior scientific and strategic expert role, including: • Contributing to the design, structuring, and validation of clinical decision-making models within your specialty., • Translating evidence-based UK clinical practice (NICE guidelines, Royal College standards, NHS frameworks, and international guidelines) into structured, explainable decision logic., • Reviewing anonymised clinical cases and participating in senior-level, interdisciplinary peer-review processes., • Collaborating closely with MetaQare’s medical, scientific, regulatory, and technology teams., • Ensuring clinical rigor, traceability, explainability, and ethical integrity of all models., • Your clinical expertise is transformed into a digital clinical decision model reflecting your diagnostic and therapeutic reasoning., • Your judgment supports diagnostic pathways, risk stratification, and treatment decisions with full explainability and auditability., • You receive royalties linked to the validated clinical use of the model you help develop., • Your name becomes part of a select group of 100 physician pioneers shaping the future of Clinical AI in the United Kingdom., • MBBS / MBChB (or equivalent medical degree)., • Full registration with the General Medical Council (GMC)., • CCT (Certificate of Completion of Training) or recognised specialist registration., • Minimum 5 years of independent consultant-level clinical practice., • Preferably experience in leadership roles (Clinical Lead, Consultant, Medical Director, Academic Lead, etc.)., • Strong evidence-based clinical reasoning aligned with NICE and Royal College guidance., • Recognised as a reference expert within your specialty., • Demonstrated interest in medical innovation, Clinical AI, and decision-support systems., • Ability to collaborate as an independent medical consultant. We are seeking senior specialists across multiple disciplines, including but not limited to: Cardiology · Oncology · Dermatology · Gastroenterology · Gynaecology · Neurology · Endocrinology · Paediatrics · Allergy & Immunology · Respiratory Medicine · Internal Medicine · Psychiatry · Rheumatology · Trauma & Orthopaedics · General Surgery · Urology (Additional specialties are welcome.) What MetaQare Offers • Participation in the first global network of physician-developed clinical intelligence., • Comprehensive scientific, ethical, regulatory, and technological support., • Author agreement with a long-term royalty-based compensation model., • International visibility through the Global Medical Innovation Panel. MetaQare was founded with a clear mission: To preserve and scale clinical knowledge across time, institutions, and borders. For the first time, medical expertise can be digitally amplified without compromising scientific rigor, ethics, or transparency. Physicians who join ACAI do not work for AI — they define it. Application Process Please submit your CV along with a brief description of your specialty and current leadership role via LinkedIn Recruiter. Applications are reviewed on a rolling basis by the MetaQare Clinical Committee. 🔗 More information: 📩 Contact:

Consultant – Transmission Planning & Interconnection Strategy Title: Power Systems Consultant (Part-time, 10 hrs/week) Compensation: $150 per hour Objective: Encode power feasibility, timeline, and risk into Nyxium’s decision engine About Nyxium Nyxium is a London-based deep tech company backed by top-tier investors, building an infrastructure intelligence platform for siting and deployability decisions across data centers and energy infrastructure. We are seeking a Senior Power Systems Consultant to strengthen our grid access predictive capability, perform technical modeling, and elevate our grid intelligence beyond basic GIS mapping. The work will be conducted over six weeks, with clear deadlines and deliverables to ensure focus and impact within Nyxium’s ecosystem. Must-Have • 7+ years in utility / TSO / grid planning and operation, • Direct experience with data center or large industrial loads (≥20 MW), • Hands-on with:, • Interconnection process (queues, studies, upgrades, capacity extension), • Substations / transmission levels (HV/MV), • Geography: US or Europe (ideally both exposure) Expectation Define a rule-based system that enables Nyxium to reliably determine whether a site can obtain power, on what timeline, and what constraints may prevent it. The consultant will define the rules once, and Nyxium will apply them automatically across thousands of sites using geospatial data and scoring logic. Scope of Work Grid interconnection Feasibility proxies (Week 1) You will define indicators and heuristics for grid interconnection that Nyxium can compute as proxies for interconnection feasibility. The work will begin with data centers, and the methodology will be expanded in week 4 to additional markets, including battery energy storage and renewables. These proxies will be used to evaluate whether a site can be connected to the grid. They must include indicators of what makes a site power-viable versus non-viable, integrating key constraints such as: · substation and transmission access proximity · generation and load density · voltage level · existing and historical interconnection queue These indicators and heuristic rules will be used to construct a power readiness score, with components that reflect structurally favorable or unfavorable conditions for power supply or grid connection at specific sites, such as indicative spare capacity. They should also propose hard no-go rules that depend on the asset class, for example, “> X km from ≥132 kV → NO for ≥50 MW data centers,” as well as upgrade classes (minor works versus transmission upgrades required and/or new substation build-out). In addition, they should specify, where appropriate, the required inputs Nyxium must collect. Timeline Model (Week 2) On week 2, you will expand upon the first week’s methodology to translate real-world grid behavior into usable timelines. You will define: · Time-to-power classes for each site (e.g. T1: 0–2 yrs, T2: 2–4 yrs, T3: 4–7 yrs) · What conditions lead to each timeline · Typical envisioned upgrade pathways (e.g. transmission expansion vs new substation) and associate costs With this work, we should be able to produce a structured mapping from site characteristics to timeline estimates. The mapping rules (if/then) may be based on factors such as voltage level, region (US/EU), upgrade class, load density, renewable and data center density, and congestion proxies. An estimate of the confidence associated with each proxy and approach must also be provided (e.g., high / medium / low), depending on data caveats and other well-justified dimensions. Red Flags & False Positives (Week 3) By week 3, the methodologies should be safeguarded against hidden blockers. Based on the proxy models developed, critical risk patterns and common failure cases must be well documented. You will define: · Indicators and heuristics that provide early signals such as “site appears viable but cannot realistically secure capacity,” or “upgrade requirements will delay the project beyond viability.” · A list of red flags and decision rules to detect “looks good but will fail” patterns (e.g., “near substation but no spare capacity typical in the region”), along with associated data caveats. · A set of systematic viability checks to be performed before recommending a site. Battery Energy Storage System and Renewable energy Variants (Week 4) In week 4, the models will be reused and expanded to cover battery energy storage systems and renewable energy assets. Indicators and heuristics for the co-location of data centers with these assets will also be developed. The outputs for this week will be: · Novel adjusted weights for: • Grid access, • Land constraint / cooling, • Additional flags:, • interconnection value zones (e.g., high-density of negative prices, curtailment), • co-location viability with data centers Validation (Week 5) You will review real site outputs from Nyxium and answer: • Would you proceed with this site?, • What is missing or incorrect? Integration Requirements Consultant must provide: • Rule tables (clear thresholds), • Weightings (e.g., substation proximity = 30%, voltage = 30%, etc.), • Decision tree (if/then logic), • Examples (good vs bad sites) What success looks like By the end of week 6, the Power Readiness Score and timeline classes must be live in the product. Greater than 80% agreement between consultant judgment and the model across 10 validation sites must be demonstrated, and the decision output must be enabled as: Deployable / Conditional / Not Deployable (power-driven). The methodology and code must be clearly documented, transparent, and reproducible, with a Python-based approach preferred and aligned with industry best practices.

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Take ownership of the technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS Serverless stack and event driven architectures., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £55,000 to £70,000/year salary depending on experience, • Share options in Logiq Systems

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Title: Engineering Manager Location: London, United Kingdom Candidates must be legally authorized to work in the United Kingdom without sponsorship now or in the future. Salary: 110k-140k Pounds (150-175k USD) + 10% Bonus + RSU's Our client, a progressive LegalTech Saas firm, is looking for a hands on engineering manager who can lead a team of 6-8 mid-sr engineers. The ideal candidate will ensure the efficient delivery of high-quality software solutions by managing project requirements, delegating tasks, and fostering technical excellence. What You’ll Do • Project Leadership: Determine project requirements, develop work schedules, and delegate tasks to meet project goals., • Team Management: Lead a team of engineers, ensuring the highest standards in product delivery and facilitating cross-team communication., • Stakeholder Liaison: Act as a bridge between technical teams and various stakeholders, including management, product managers, and product designers., • Reporting & Risk: Prepare progress reports, deliver presentations to relevant stakeholders, and identify risks to develop contingency plans as needed. Who You Are • Experience: 10+ years of software engineering experience, with 2-3 years in a management role., • Sector Expertise: Experience in SaaS environments and familiarity with cloud-based technologies and architectures., • Leadership: Demonstrated ability to lead, motivate, and scale a diverse team of engineers with strong interpersonal and team-building skills., • Technical Proficiency: Hands-on experience with Java, C#, Typescript, or Python in an enterprise environment. Eligibility • Candidates must be legally authorized to work in the United Kingdom without sponsorship now or in the future., • Our client is not currently sponsoring visas. About the Company Our client provides a cloud-native, artificial intelligence-powered legal solution that simplifies e-discovery, legal document review, and case management. Their scalable, integrated solution enables global enterprises, law firms, and governments to easily collect and process complex data relevant to legal matters. This role can be remote, or hybrid in London.

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: • Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation., • Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation., • Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment., • Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift., • Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team. What You Bring: • Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background., • Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker., • ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures., • Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces)., • Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy)., • Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) • Hands-on experience with Vision Transformers (ViTs)., • Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP)., • Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. Why Haut.AI? • Competitive compensation based on experience and skills., • Fully remote position with flexibility across UK and EU time zones., • Paid PTO., • Be part of a pioneering company revolutionizing the BeautyTech space., • Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry., • Make a tangible impact on product development and company growth., • Opportunity to grow your skills and expertise at the intersection of science and beauty. To Apply: Please submit your CV in English for applying. We look forward to hearing from you!

Senior Software Engineer Snyk | Intelligence (Remote, UK) About Snyk Snyk is a leader in secure, AI-powered software development, enabling millions of developers to build quickly while staying secure. Our AI-native Developer Security Platform integrates seamlessly into development workflows, helping teams find, fix, and prevent vulnerabilities across code, dependencies, containers, and cloud environments. Our mission is simple: empower developers to innovate securely in the AI era — increasing productivity while reducing risk. We operate with a strong set of values — One Team, Care Deeply, Customer Centric, and Forward Thinking — which shape how we build, collaborate, and stay ahead in a rapidly evolving landscape. Why this role? You’ll join a forward-thinking, AI-native team building a next-generation intelligence platform that protects customers in real time. This role sits at the heart of Snyk’s security capabilities — from advancing malware scanning to dramatically reducing intelligence delivery times from hours to minutes. Your work will directly impact how quickly and effectively customers can detect and respond to threats. If you’re excited about building scalable, foundational infrastructure and want to play a key role in securing open-source ecosystems and software supply chains, this is a rare opportunity to shape the future of developer security. What you’ll do • Design, build, and deliver high-quality, well-tested solutions to complex technical problems, • Own projects end-to-end — from ideation through to production and iteration, • Scale and harden distributed systems to meet growing demand and evolving use cases, • Contribute to operational excellence across reliability, performance, and observability, • Mentor and support engineers, helping to grow technical capability within the team, • A collaborative mindset — you enjoy solving problems with others and value diverse perspectives, • Strong ownership — you can lead projects from concept to production with confidence, • A pragmatic approach to problem-solving, including debugging both technical and organisational challenges, • A growth mindset — open to feedback and committed to continuous improvement, • Strong team orientation — you understand that success is shared, • Experience with event-driven architectures and distributed systems, • Familiarity with AI-native development workflows and tooling, • Exposure to security products and an understanding of customer pain points in this space

Data Science Training & Internship – CP - Spring 2026 Int-Elligence Tech Solutions Plc (UK-Based) Remote | 3 Months | Industry-Recognised Certificate | 1:1 Live Mentorship | April 2026 - VII The UK job market continues to face a shortage of skilled data professionals. Organisations across industries are actively seeking individuals who can turn data into meaningful insights and business value. Our program is specifically designed to bridge the gap between academic theory and the practical, real-world experience UK employers look for in data and tech professionals. Data science is no longer optional - it is becoming a core capability for growth-driven organisations in the UK. About 46% of UK businesses said they struggled to recruit for roles requiring data skills over the past two years(GOV.UK) Why Consider This Program? UK Skills Gap: A significant proportion of UK data roles remain unfilled due to a shortage of job-ready candidates (STEM Learning). Portfolio-Led Learning: Build up to 5 real-world projects, including use cases such as fraud detection, forex analysis, and sales forecasting. UK-Based Credibility: Training delivered by a UK-based technology firm, aligned with current local industry expectations and standards. Program Overview Data Science Training & Internship - CP This learning-focused internship is designed to help participants strengthen their practical data science skills through structured guidance, hands-on project work, and mentorship. What You’ll Gain Real-World Project Experience Apply data science techniques to real scenarios and develop a portfolio suitable for entry-level and transition roles. Mentorship from UK Industry Professionals Learn under the guidance of data specialists with experience across FTSE-listed companies, AI start-ups, and enterprise environments. Industry-Recognised Certification Participants who successfully complete the program will be eligible for a Microsoft-partnered industry certificate. Practical Tool Exposure Gain experience with frameworks and technologies commonly used by UK employers. Key Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying APIs and interactive data applications Who This Program Is For Graduates or final-year students in STEM, computer science, or analytics-related disciplines Professionals seeking to upskill or transition into data-focused roles Career changers looking to gain UK-aligned project experience Applicants should have basic working knowledge of Python 📌 Important Information This is an unpaid training and internship certificate program, structured specifically for learning, mentorship, and skill development. Please apply only if you are comfortable with this format and meet the eligibility criteria. How to Apply Apply directly via LinkedIn with your updated CV Shortlisted applicants will be contacted with next steps 📧 For queries: UK businesses are recruiting for 178,000–234,000 data or “hard data-skills” roles. Nearly half (≈ 48%) of businesses surveyed say they are hiring for data/data-skills roles - but many report difficulty filling them(Quantifying the UK Data Skills Gap, GOV.UK).

Looking for A technical delivery leader who can own the end-to-end success of AI agent deployments at the largest banks and fintechs in Europe. You will build the delivery function, set the methodology, and ensure every deployment drives measurable operational impact for our clients. About Triple Triple is building the intelligence platform for banking operations. We’re starting by solving one of the most painful problems in payments: dispute and chargeback management. Our AI agents automate the dispute workflows for card issuers, from intake and classification through evidence evaluation and scheme submission to Mastercard and Visa. We are also the leading transaction enrichment engine, trusted by 60+ banks and fintechs across 30+ markets. We have raised $10M in funding, an experienced team, and a large network of investors behind our company. We value getting things done. What you will do • Build and lead Triple’s AI Delivery team: hire, develop, and manage a team of delivery professionals who ensure every AI agent deployment succeeds in production, • Own the delivery methodology from scoping and discovery through go-live, optimization, and expansion, creating a repeatable framework that scales across dozens of concurrent bank deployments, • Serve as the senior technical advisor to client executives (Heads of Operations, Risk, Payments, Cards), building trust and translating operational challenges into AI-driven solutions, • Define and track deployment success metrics (automation rate, resolution accuracy, processing time, loss reduction) and drive continuous improvement across all live clients, • Manage complex, multi-workstream deployments involving engineering, product, compliance, and client teams across different time zones and regulatory environments, • Build the knowledge base: deployment playbooks, configuration best practices, escalation frameworks, and training materials that accelerate every future onboarding, • Act as the voice of the client internally, surfacing product gaps, scalability concerns, and feature requests that shape the roadmap What you need • 7+ years of experience in technical delivery, solutions engineering, or implementation leadership in fintech or financial services, • At least 2 years of experience managing or building a delivery team, including hiring, coaching, and performance management, • Deep understanding of banking operations, payments infrastructure, or dispute and chargeback workflows, • Technical depth: you can engage meaningfully with engineering discussions, review integration architectures, and troubleshoot deployment issues without depending on others, • Proven ability to manage executive-level client relationships at banks and regulated institutions, • Experience defining and scaling delivery processes in a high-growth environment where the playbook does not yet exist, • Strong project management instincts with the ability to keep multiple concurrent deployments on track, • English fluency required. Additional European languages are a strong plus Conditions 100% remote work. Competitive salary, equity, and generous bonuses. Travel to client sites as needed. The chance to shape how the world’s largest banks run operations with AI. Join Triple and help us build the intelligence platform for banking operations. Please kindly apply through LinkedIn.

BI Developer Trustmarque | Remote (UK) | Full-time Are you passionate about turning data into meaningful insights that drive real business decisions? At Trustmarque, we’re looking for a talented BI Developer to join our growing data team and play a pivotal role in shaping how data is transformed, modelled, and consumed across the organisation. This is a fully remote role where you’ll sit at the intersection of data engineering and business intelligence, acting as the vital link between technical data pipelines and impactful business reporting. About the Role As a BI Developer, you’ll work closely with Data Engineers and Data Analysts to transform raw data into clean, structured, and analytics-ready datasets. You’ll design and maintain transformation pipelines, build robust semantic models, and deliver high-quality Power BI dashboards and reports that empower stakeholders to make confident, data-driven decisions. What You’ll Be Doing • Act as the key bridge between Data Engineering and Data Analyst teams, ensuring data is structured, documented, and ready for reporting, • Design and build scalable transformation pipelines within Microsoft Fabric, • Develop reusable, well-documented semantic data models optimised for Power BI, • Create and maintain engaging, interactive Power BI reports and dashboards, • Apply advanced techniques including DAX, Power Query, and row-level security, • Support and optimise data pipelines, transforming manual processes into automated, scalable solutions, • Collaborate with stakeholders to translate business requirements into data-driven solutions, • Implement data quality checks, validation rules, and monitoring processes, • Uphold data governance best practices across the BI layer, • Optimise performance of datasets and pipelines (e.g. incremental refresh, query folding, aggregations), • Conduct data audits to improve quality, security, and governance, • Maintain clear documentation of data flows, lineage, and transformations, • Strong hands-on experience with Microsoft Fabric (Pipelines, Dataflows Gen2, Lakehouse, OneLake), • Advanced Power BI skills (report design, DAX, Power Query, dataset management, governance), • Solid understanding of data modelling principles, including star schema design, • Strong SQL skills with a focus on performance optimisation, • Experience with ETL/ELT processes and data transformation workflows, • Knowledge of data warehousing concepts and architectures, • Understanding of data governance, including quality, security, and compliance, • Excellent problem-solving skills with the ability to analyse complex datasets, • High attention to detail and commitment to data accuracy, • Strong communication skills with the ability to work across technical and non-technical teams At Trustmarque, you’ll be part of a collaborative and forward-thinking environment where data is at the heart of decision-making. You’ll have the opportunity to work with modern technologies, influence data strategy, and deliver solutions that make a real impact.

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

Wenham Carter is proud to be supporting a global leader in industrial software in the search for a Director, AI Product - Industrial Intelligence & Platform. This is a high-visibility leadership role shaping how advanced AI is embedded across industrial software products used by some of the world’s most critical infrastructure and asset-intensive organisations. You will sit at the intersection of advanced AI capability and industrial product strategy - defining how cutting-edge machine learning and foundation models translate into scalable, safe, and valuable real-world applications. The opportunity This role is responsible for defining and driving the technical truth behind AI-powered products - including model choices, system logic, and AI capability design from early concept through to production. You will play a central role in shaping the AI product vision and roadmap across a global industrial software portfolio, balancing innovation (0→1) with lifecycle product maturity and enterprise-grade deployment realities. This is a rare opportunity to influence how AI is embedded into complex industrial environments at scale. Key responsibilities • Define and own the technical direction (“technical truth”) of AI capabilities across industrial products, • Shape AI product strategy, roadmap, and requirements in partnership with engineering, data science, and product teams, • Translate emerging AI technologies into viable industrial product opportunities, • Drive AI product requirements (PRDs), prioritisation, and architecture decisions based on customer and domain needs, • Evaluate trade-offs across model performance, data constraints, cost, safety, and scalability, • Identify and mitigate technical, operational, and regulatory risks in AI systems, • Define and track AI product metrics to assess performance and inform roadmap decisions, • Ensure AI capabilities are aligned with industrial safety, security, governance, and compliance requirements, • Mentor and guide junior team members and contribute to a culture of innovation and rigour Key requirements • 10+ years of experience in AI/ML product management or technical product leadership, including 6+ years in senior leadership roles, • Strong technical foundation with recent, hands-on exposure to AI/ML systems (including shipping or influencing production systems), • Deep understanding of modern AI paradigms including foundation models, multi-modal systems, agent-based architectures, and RAG approaches, • Strong Python capability and familiarity with modern ML frameworks (PyTorch, TensorFlow, JAX), • Proven experience balancing innovation (0→1) with mature product lifecycle management, • Strong track record operating in complex, regulated, or industrial environments, • Ability to translate AI capabilities into practical, high-value enterprise use cases, • Exceptional communication and stakeholder influence skills across technical and executive audiences, • Master’s degree in Computer Science, Engineering, Physics or related field (PhD preferred) Why this opportunity? This is a chance to define how AI is productised within one of the most important industrial software ecosystems globally. You will not simply be reacting to trends, you will be shaping how AI is evaluated, prioritised, and embedded into real industrial systems where reliability, safety, and performance matter. This is a role for someone who can operate comfortably between deep technical AI understanding and strategic product leadership, and who wants to see their decisions directly influence real-world industrial outcomes at global scale. To stay updated on roles like this, follow me here on LinkedIn and send me a connection request.

Looking for A senior engineering leader who can build and scale Triple’s Forward Deployment Engineering function from the ground up. You will define how we integrate AI agents into the core systems of major banks, set the technical standard for every deployment, and grow a team of FDEs who deliver at the intersection of engineering and client success. About Triple Triple is building the intelligence platform for banking operations. We’re starting by solving one of the most painful problems in payments: dispute and chargeback management. Our AI agents automate the dispute workflows for card issuers, from intake and classification through evidence evaluation and scheme submission to Mastercard and Visa. We are also the leading transaction enrichment engine, trusted by 60+ banks and fintechs across 30+ markets. We have raised $10M in funding, an experienced team, and a large network of investors behind our company. We value getting things done. What you will do • Build and lead the Forward Deployment Engineering team: hire, mentor, and set the technical bar for engineers who work directly inside bank environments, • Define the integration architecture and reusable frameworks that allow Triple’s AI agents to connect with any core banking system, card processor, or dispute platform, • Own the technical quality of every client integration, from secure API design and data pipeline reliability to compliance with bank-grade security requirements, • Create scalable deployment tooling, integration templates, and automation that reduce time-to-live for new clients from months to weeks, • Work hands-on with the most complex integrations, setting the example for the team and unblocking critical deployments personally when needed, • Partner with Product and Engineering leadership to translate integration patterns and client constraints into platform capabilities, • Establish processes for knowledge sharing across deployments so that every integration makes the next one faster What you need • 7+ years of software engineering experience, with at least 2 years leading or managing a technical team, • Deep experience integrating with enterprise systems in financial services, payments, or similarly regulated industries, • Strong proficiency in Python and SQL. Hands-on experience with API design, data pipelines, and infrastructure automation, • Track record of building engineering teams or functions from early stage, including hiring, process design, and technical culture, • Comfortable operating in complex bank environments with layered security, compliance requirements, and multiple stakeholders, • Pragmatic engineering judgment: you know when to build for reuse and when to ship fast for a specific client, • Excellent communication skills for both engineering peers and senior client stakeholders, • English fluency required. Additional European languages are a strong plus Conditions 100% remote work. Competitive salary, equity, and generous bonuses. Travel to client sites as needed. The chance to shape how the world’s largest banks run operations with AI. Join Triple and help us build the intelligence platform for banking operations. Please kindly apply through LinkedIn

Contract AI-Native Software Engineer opportunity - £520 per day - Fully Remote - Outside IR35 If you’re already using AI to build, ship and improve software (not just experiment with it) this is a seriously exciting opportunity. Morson Edge are working with a team redefining how software is delivered using agentic workflows and multi-agent systems. This is a hands-on engineering role focused on building real, production-grade systems powered by AI. What you’ll be doing: • Designing and building AI-native, backend systems (Go / C#), • Orchestrating multi-agent workflows to accelerate delivery, • Implementing AI-assisted development practices across the lifecycle, • Building validation and quality frameworks for AI-generated code, • Working within existing platforms to introduce modern, agentic approaches What they’re looking for: • Strong backend engineering experience (Go and/or C#), • Experience with distributed systems & APIs, • Hands-on use of AI-assisted or agentic development workflows, • Understanding of testing, CI/CD, observability, • Comfortable working in fast-paced, evolving environments Why it’s interesting: • Work at the forefront of AI-driven software engineering, • High-impact role shaping how teams build software, • Blend of engineering rigour + cutting-edge AI practices, • Opportunity to work on real-world, production AI systems, • If you’re someone who sees AI as a core part of how software should be built going forward, I’d love to speak.