209 jobs found

Role: Quality Assurance Manager Location: Milton Keynes (Hybrid typically, 1-2 days a week on-site) Salary: 50,000 - 60,000 depending on experience Due to continued growth and the success of a market-leading AI-powered platform used across central government, our client is seeking an experienced Software QA Manager to play a critical role in ensuring the quality, reliability and compliance of software products and services. This is a hands-on software quality assurance position, working closely with software engineering, data science, project management and technical leadership teams. You will be responsible for driving quality assurance activities across the full software development lifecycle, ensuring robust testing practices, quality standards and continuous improvement initiatives are embedded into delivery. As the lead for software quality, you will act as the primary point of contact for QA-related matters across multiple concurrent projects, supporting the delivery of innovative solutions used by major UK Government departments. You will collaborate with development teams to define testing strategies, improve QA processes, oversee defect management and ensure solutions meet both customer and regulatory requirements. The successful candidate will contribute to product and design reviews, support independent testing activities, analyse quality metrics, facilitate root cause investigations and help drive a culture of quality across the organisation. You will also work closely with stakeholders to ensure software solutions align with ISO standards, security requirements and best practice software engineering principles. Key Responsibilities Lead and manage software quality assurance activities across multiple projects and releases. Develop, implement and continuously improve QA processes, standards and testing methodologies. Work closely with Software Engineering, Data Science and Project teams to ensure quality is embedded throughout the SDLC. Define and oversee test strategies, test plans, defect management and release quality controls. Act as the primary escalation point for software quality issues and ensure timely resolution. Lead root cause analysis and corrective action activities to address recurring defects and quality concerns. Participate in requirement, design and technical reviews to identify risks and quality improvements early. Review and approve software quality and technical documentation. Monitor QA metrics and provide reporting, insights and recommendations to improve product quality. Support independent testing and act as a witness during formal testing activities where required. Contribute to continuous improvement initiatives, promoting a strong quality-first culture. Support customer engagements, audits and compliance activities relating to quality, security and software delivery standards. Skills and Experience Required Essential Skills & Experience Minimum 5 years' experience in a Software Quality Assurance Manager, QA Lead or Senior Software QA role within a software development environment. Strong understanding of the Software Development Lifecycle (SDLC), including both Agile and Waterfall methodologies. Experience developing and implementing software QA frameworks, processes and testing standards. Proven experience managing software quality across multiple concurrent projects. Strong understanding of software testing methodologies, defect management and quality metrics. Experience working with development lifecycle tools such as Jira, GitLab or equivalent platforms. Experience conducting root cause analysis and driving corrective and preventative actions. Ability to review technical documentation and provide quality-focused recommendations. Excellent stakeholder management skills with the ability to communicate effectively with both technical and non-technical audiences. Strong problem-solving, organisational and decision-making capabilities. Degree in Computer Science, Software Engineering, Software Quality or a related discipline, or equivalent commercial experience. Currently hold SC Clearance or be eligible and willing to obtain SC Clearance. Desirable Skills & Experience Experience working within highly regulated, government, defence or public sector environments. Knowledge of quality and compliance frameworks including ISO 9001, ISO 20000 and ISO 27001. Experience supporting software audits, accreditation or certification activities. Exposure to AI, machine learning, data analytics or data-driven software products. Familiarity with DevOps and continuous integration/continuous deployment (CI/CD) practices. Personal Attributes Passionate about software quality and continuous improvement. Able to manage competing priorities while maintaining exceptional attention to detail. Collaborative and proactive approach to problem solving. Confident engaging with stakeholders at all levels. Strong leadership skills with the ability to influence teams and drive quality best practice. Committed to delivering high-quality outcomes in fast-paced and evolving environments. Please note: Candidates must be eligible for UK Security Clearance (SC) and be willing to undergo the clearance process if not already cleared. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Technology Business Partner Location: London (Hybrid) Salary: 115,000 - 125,000 + Annual Bonus + Comprehensive Benefits Employment Type: Permanent Please note: Applicants must already have the right to work in the UK. Unfortunately, visa sponsorship is not available for this role. Technology Business Partner - Drive Technology Strategy and Business Transformation We're partnering with a leading global organisation undergoing an exciting technology transformation. As part of this journey, they're looking for an experienced Technology Business Partner to act as the strategic technology lead for a major business division. This is a highly visible leadership position where you'll work closely with executive stakeholders, shaping technology strategy, influencing investment decisions, and ensuring technology initiatives directly support commercial objectives. If you're passionate about aligning technology with business strategy and enjoy operating at executive level, this is an outstanding opportunity to make a significant impact. The Role As Technology Business Partner, you'll become a trusted advisor to senior business leaders, translating strategic priorities into technology roadmaps that drive innovation, operational excellence and measurable business outcomes. You'll work across engineering, architecture, product and operations teams, ensuring technology investments deliver real value while championing modern engineering practices, AI-enabled transformation and continuous improvement. Key Responsibilities Partner with senior business leaders to understand strategic priorities and develop technology roadmaps aligned with business objectives. Provide strategic leadership across technology, architecture, cloud, AI, cybersecurity, engineering and digital transformation. Lead complex technology programmes, ensuring delivery excellence and measurable commercial outcomes. Champion modern delivery methodologies including Agile, DevOps, platform engineering, automation and AI-enabled software development. Build strong relationships across business and technology functions, acting as the key bridge between technical teams and executive stakeholders. Influence technology investment decisions and prioritise initiatives based on business value and strategic impact. Drive innovation, operational excellence and continuous improvement across technology delivery. Contribute to wider technology leadership, helping shape organisational strategy and future technology direction. About You You'll be an experienced technology leader who combines strong commercial awareness with deep technical knowledge and exceptional stakeholder management skills. We're looking for experience in: Developing and executing enterprise-wide technology strategies aligned to business goals. Leading large-scale engineering organisations and complex digital transformation programmes. Modern software engineering, cloud platforms, enterprise architecture and digital product delivery. AI, machine learning, automation, cybersecurity, data platforms and systems integration. Driving delivery excellence through Agile, DevOps, Site Reliability Engineering (SRE) and product-led operating models. Influencing C-suite and executive stakeholders, translating technical capability into commercial value. Building and leading high-performing multidisciplinary technology teams. Delivering measurable business outcomes through technology innovation and operational excellence. What's On Offer Salary of 115,000 - 125,000 Annual performance bonus Comprehensive benefits package Hybrid working with offices in London. Opportunity to shape enterprise technology strategy at executive level. Exposure to senior leadership and key business decision-makers. Excellent career progression within a global organisation investing heavily in technology and AI. Collaborative, forward-thinking technology environment where innovation is encouraged. If you're an experienced technology leader looking for a role where you can influence strategy, drive transformation and partner directly with senior business leaders, we'd love to hear from you. Please note: This position is open to candidates already based in the UK with unrestricted right to work. Unfortunately, visa sponsorship is not available for this opportunity.

We re AND-E one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class leadership credentials to bring our people with you on this journey and take us to the next level. You ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands-on contribution to technical delivery, acting as a part-time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel. The role will also lead use case discovery, support pre-sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non-technical stakeholders. We are happy to consider candidates who prefer hybrid or remote ways of working. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements. Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab. Lead multidisciplinary teams of ML engineers A1.1 A1.2 , ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement. Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab. Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable. Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate. Contribute hands-on to delivery where required, particularly on complex or high-priority engagements. Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders. Support pre-sales activity in collaboration with the commercial team, including technical scoping and solution shaping. Partner with the Project Management function to scope, plan and support delivery engagements. Oversee the maintenance and continuous improvement of deployed solutions. Drive reuse of shared frameworks, standards and tooling across projects. Communicate technical decisions, risks and concerns clearly to non-technical audiences. Knowledge, Experience and Qualifications Essential • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. • Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production-grade ML systems and leading technical work across teams or projects. • Strong software engineering background, with experience building and delivering machine learning or data-driven systems in production or near-production environments. • Experience leading or managing machine learning engineers or other technical contributors in a delivery-focused setting. • Experience supporting pre-sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams. • Ability to provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML-enabled systems. • Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement. • Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse. • Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non-technical stakeholders. • Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems. • Ability to communicate technical decisions, risks and trade-offs clearly to both technical and non-technical audiences. • Strong problem-solving, prioritisation and judgement in ambiguous, fast-moving environments. • Experience contributing hands-on to technical delivery while also leading multiple projects or workstreams in parallel. Desirable • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. • Experience in regulated, enterprise or operationally complex environments. • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. • Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: 28 Days annual leave with the option to buy/sell up to 5 days holiday Private Medical & Permanent Health Insurance 4 x Annual salary Life Assurance Health and Wellbeing Benefits: Including money back on health-related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family-friendly policies (baby bonus & pension advisory service) Financial and Lifestyle Support: Offers financial flexibility through Wagestream , annual season ticket loans , cycle scheme , and £250 towards driving lessons for you and dependents . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.

Data Engineer (AWS) 12-month FTC, Canary Wharf, London One of our government clients is recruiting for a Data Engineer to join them on a 12-month fixed term contract (FTC). They are offering £49,400 per annum plus excellent pension. This is an exciting opportunity to apply your data engineering skills for the public good in the Data, Technology and Insights (DTI) unit, a multidisciplinary team of data engineers, data scientists, technologists, behavioural scientists, and digital forensics experts. What you ll do: Join a multidisciplinary team of data engineers and data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated web scraping and bulk data acquisition workflows. Implement data transformation, validation, and quality controls to ensure datasets are reliable, reproducible and analysis ready. Build and maintain containerised data and analytics applications (such as dashboards and data tools) that run scalable workloads. Implement and manage data workflow orchestration and scheduling to ensure observable and maintainable execution of data pipelines and jobs. Apply Infrastructure as Code (IaC) where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What you ll need: Experience delivering production data pipelines end-to-end, including design, implementation, and operational maintenance, in a cloud environment. (Lead Criteria) An undergraduate degree in a quantitative subject OR equivalent experience working in data engineering, data science, or development in the cloud. (Lead Criteria) Experience writing production-quality Python code to work with complex or messy datasets. ( Lead Criteria) Understanding of core data engineering best practices, such as data-modelling, transformation, validation, testing, and reproducibility. Experience working collaboratively within multidisciplinary teams, including analysts, data scientists, or other engineers. Strong communication skills, with the ability to present work in a straightforward and engaging way, including to non-technical audiences SmartSourcing are a Disability Confident Employer and we promote, celebrate and value diversity, we are committed to promoting equality and inclusion for all.

Start Your Career as a Trainee Field Service Engineer with Hotpoint Are you ready to launch a hands-on career with one of the UK's most trusted appliance brands? Hotpoint is offering an exciting opportunity to train and qualify as a Trainee Field Service Engineer. No experience? No problem - we'll give you all the training you need to succeed! If you enjoy fixing things, love working with your hands, and want a job where every day is different, this could be the perfect fit for you. About the Role As a Trainee Field Service Engineer, you'll be out on the road, visiting customer's homes to diagnose and repair household appliances. You'll be the friendly face of Hotpoint, helping people get their appliances back up and running. What you'll be doing: Driving your own Hotpoint van to customer appointments Diagnosing and repairing appliances like tumble dryers, electrical cookers, washing machines Providing top-notch customer service Managing your tools and spare parts stock Promoting our trusted Hotpoint products Your Training Journey We'll fully support you from day one with a blend of classroom learning, hands-on experience, and on-the-job training: Welcome Induction (2 days) - Meet your team, collect your equipment, and learn key safety info Shadowing - Join an experienced engineer on the road to see the job in action Phase 1 Training (2 weeks) - Technical training at our specialist centre in Peterborough On-the-Job Learning (6 - 9 months) - Build your skills with real customers Phase 2 Training (1 week) - Level up your knowledge learning another appliance What You'll Need We're looking for people who are: Passionate about customer service Interested in electrics, mechanics, or hands-on problem-solving Hold a full UK manual driving licence Physically fit - able to move and lift appliances Eligible to work in the UK No previous field engineering experience is required - just a great attitude and a willingness to learn! What's In It for You? Pay: 27,377 - 28,352 per year (daily rate equivalent via umbrella company) Bonuses: Commission + overtime opportunities Vehicle: Fully equipped company van + fuel card Time Off: 20 days holiday + bank holidays increasing to 25 days once permanent Progression: The chance to move into a permanent role within 12 months with even more rewards Why Choose Hotpoint? Learn from the best with industry-leading training Join a globally respected brand trusted by millions Enjoy a secure career path with opportunities to grow Be part of a team that values skill, effort, and dedication Ready to Apply? This is more than just a job - it's the start of a long-term career where you'll learn new skills, meet great people, and be proud of what you do. Hit Apply and take the first step to becoming a fully qualified Field Service Engineer with Hotpoint. For further information please contact The Academy Team!

hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role. Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-lead, by equipping them with robust data platforms. You'll also join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll also help implement efficient data pipelines & storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. As employee growth is a huge focus here, we would expect you to contribute to our recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria as if unsuccessful we can provide you with feedback. Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies. Strong experience in IaC and able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines. Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development. You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming use cases. You are a skilled Data Engineer who has delivered data platforms. Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project. You can demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders. You have the experience to improve resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit integration, data quality, etc) You are skilled at offering guidance on how one would implement a robust DevOps approach in a data project. You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable experience Experience in the following things isn't essential, but it's highly desirable! Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process. Working with senior stakeholders to gather requirements and keep them engaged with Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to productionise advanced data deliverables, such as machine learning models Job Benefits Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. Benefits We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: ️ 30 days Holiday - we offer 30 days of paid annual leave Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice. Pension - 7% employer matched An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility.Eligibility for SC requires 5 years' UK residency and 5 year' employment history (or back to full-time education). Ideally, no more than 30 consecutive days spent outside the UK within the last five years. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world-class digital products and services. Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We're helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we're making it more accessible, such as children needing mental health support. All this great experience is enabling us to support new areas, like energy. We're helping to drive better environmental outcomes by improving network performance through real-time asset monitoring, which means less wasted energy. We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open-access employee handbook that we launched 5 years ago.

Software AI Engineer with solid understanding of how to build LLM based solutions is sought by a high growth FinTech with a hub in the Midlands. Working at the forefront of financial services AI innovation this Software AI Engineer will join a multi-disciplinary team that are turning ideas into production ready, market leading AI solutions. This role would suit a Software or Data Engineer with at least two years commercial experience in a broad range of technologies and a demonstratable passion for AI/ ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect excellent career development and training opportunities within a market leading scale up This Software AI Engineer should have most of the following key skills: - A software engineering background - Python, JavaScript, Typescript node.js etc - General commercial LLM experience - Solid test driven development experience - Varied database exposure - PostgreSQL, MongoDB, CosmosDB - Cloud services exposure - Azure preferred but all considered - Very strong communication skills - Understanding of AI security guardrails - Experience working in a regulated or FinTech environment This Software AI Engineer will receive - Starting salary of between £65,000 - £70,000 base salary - Long term remote working - Extensive personal development scheme - 25 days holiday - Generous pension scheme - Truly autonomous, collaborative culture with extensive growth potential - Regular remuneration reviews So if you are a Software AI Engineer who wants to join a market leading business with innovation at its core please apply now to be considered Software AI Engineer Remote AI, machine learning, LLM, Python, PyTorch, Azure

Start Your Career as a Trainee Field Service Engineer with Hotpoint Are you ready to launch a hands-on career with one of the UK's most trusted appliance brands? Hotpoint is offering an exciting opportunity to train and qualify as a Trainee Field Service Engineer. No experience? No problem - we'll give you all the training you need to succeed! If you enjoy fixing things, love working with your hands, and want a job where every day is different, this could be the perfect fit for you. About the Role As a Trainee Field Service Engineer, you'll be out on the road, visiting customer's homes to diagnose and repair household appliances. You'll be the friendly face of Hotpoint, helping people get their appliances back up and running. What you'll be doing: Driving your own Hotpoint van to customer appointments Diagnosing and repairing appliances like tumble dryers, electrical cookers, washing machines Providing top-notch customer service Managing your tools and spare parts stock Promoting our trusted Hotpoint products Your Training Journey We'll fully support you from day one with a blend of classroom learning, hands-on experience, and on-the-job training: Welcome Induction (2 days) - Meet your team, collect your equipment, and learn key safety info Shadowing - Join an experienced engineer on the road to see the job in action Phase 1 Training (2 weeks) - Technical training at our specialist centre in Peterborough On-the-Job Learning (6 - 9 months) - Build your skills with real customers Phase 2 Training (1 week) - Level up your knowledge learning another appliance What You'll Need We're looking for people who are: Passionate about customer service Interested in electrics, mechanics, or hands-on problem-solving Hold a full UK manual driving licence Physically fit - able to move and lift appliances Eligible to work in the UK No previous field engineering experience is required - just a great attitude and a willingness to learn! What's In It for You? Pay: £27,377 - £28,352 per year (daily rate equivalent via umbrella company) Bonuses: Commission + overtime opportunities Vehicle: Fully equipped company van + fuel card Time Off: 20 days holiday + bank holidays increasing to 25 days once permanent Progression: The chance to move into a permanent role within 12 months with even more rewards Why Choose Hotpoint? Learn from the best with industry-leading training Join a globally respected brand trusted by millions Enjoy a secure career path with opportunities to grow Be part of a team that values skill, effort, and dedication Ready to Apply? This is more than just a job - it's the start of a long-term career where you'll learn new skills, meet great people, and be proud of what you do. Hit Apply and take the first step to becoming a fully qualified Field Service Engineer with Hotpoint. For further information please contact The Academy Team!

Start Your Career as a Trainee Field Service Engineer with Hotpoint Are you ready to launch a hands-on career with one of the UK's most trusted appliance brands? Hotpoint is offering an exciting opportunity to train and qualify as a Trainee Field Service Engineer. No experience? No problem - we'll give you all the training you need to succeed! If you enjoy fixing things, love working with your hands, and want a job where every day is different, this could be the perfect fit for you. About the Role As a Trainee Field Service Engineer, you'll be out on the road, visiting customer's homes to diagnose and repair household appliances. You'll be the friendly face of Hotpoint, helping people get their appliances back up and running. What you'll be doing: Driving your own Hotpoint van to customer appointments Diagnosing and repairing appliances like tumble dryers, electrical cookers, washing machines Providing top-notch customer service Managing your tools and spare parts stock Promoting our trusted Hotpoint products Your Training Journey We'll fully support you from day one with a blend of classroom learning, hands-on experience, and on-the-job training: Welcome Induction (2 days) - Meet your team, collect your equipment, and learn key safety info Shadowing - Join an experienced engineer on the road to see the job in action Phase 1 Training (2 weeks) - Technical training at our specialist centre in Peterborough On-the-Job Learning (6 - 9 months) - Build your skills with real customers Phase 2 Training (1 week) - Level up your knowledge learning another appliance What You'll Need We're looking for people who are: Passionate about customer service Interested in electrics, mechanics, or hands-on problem-solving Hold a full UK manual driving licence Physically fit - able to move and lift appliances Eligible to work in the UK No previous field engineering experience is required - just a great attitude and a willingness to learn! What's In It for You? Pay: £27,377 - £28,352 per year (daily rate equivalent via umbrella company) Bonuses: Commission + overtime opportunities Vehicle: Fully equipped company van + fuel card Time Off: 20 days holiday + bank holidays increasing to 25 days once permanent Progression: The chance to move into a permanent role within 12 months with even more rewards Why Choose Hotpoint? Learn from the best with industry-leading training Join a globally respected brand trusted by millions Enjoy a secure career path with opportunities to grow Be part of a team that values skill, effort, and dedication Ready to Apply? This is more than just a job - it's the start of a long-term career where you'll learn new skills, meet great people, and be proud of what you do. Hit Apply and take the first step to becoming a fully qualified Field Service Engineer with Hotpoint. For further information please contact The Academy Team!

hackajob is collaborating with Leonardo to connect them with exceptional professionals for this role. Job Description: Your impact Are you ready to start your career in data engineering and support solutions that underpin secure, high-integrity systems and services? At Leonardo UK, our Data Engineer Technicians assist with data workflows, automation, and integration under the guidance of experienced engineers. Your work at Leonardo UK will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Data Engineer Assist in designing and building secure, scalable data solutions under guidance, progressing to independent tasks. Develop tools for data-driven insights and task automation Research and train in emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Leverage big data technologies and orchestration tools Document processes and maintain configuration records Participate in team meetings and knowledge-sharing sessions What you'll bring Assist in preparing and integrating data across systems. Support ETL processes and basic pipeline testing. Maintain documentation and configuration records. Learn and apply secure coding practices. Ability to work independently on defined tasks and escalate issues when needed Core Areas (must have): Data engineering fundamentals (ETL, pipelines). Programming (Python, SQL). Cloud and orchestration exposure. Documentation and compliance awareness. Collaboration and communication. Desirable: Degree in STEM, Data, AI or Programming-related field Experience to Docker and APIs Familiarity with CI/CD practices Interest in Agile and DevOps practices. Exposure to big data tools e.g. Spark, Hadoop, NiFi Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Bristol - Coldharbour Lane Contract Type: Permanent Hybrid Working: Hybrid

Start Your Career as a Trainee Field Service Engineer with Hotpoint Are you ready to launch a hands-on career with one of the UK's most trusted appliance brands? Hotpoint is offering an exciting opportunity to train and qualify as a Trainee Field Service Engineer. No experience? No problem - we'll give you all the training you need to succeed! If you enjoy fixing things, love working with your hands, and want a job where every day is different, this could be the perfect fit for you. About the Role As a Trainee Field Service Engineer, you'll be out on the road, visiting customers' homes to diagnose and repair household appliances. You'll be the friendly face of Hotpoint, helping people get their appliances back up and running. What you'll be doing: Driving your own Hotpoint van to customer appointments Diagnosing and repairing appliances like tumble dryers, electrical cookers, washing machines Providing top-notch customer service Managing your tools and spare parts stock Promoting our trusted Hotpoint products Your Training Journey We'll fully support you from day one with a blend of classroom learning, hands-on experience, and on-the-job training: Welcome Induction (2 days) - Meet your team, collect your equipment, and learn key safety info Shadowing - Join an experienced engineer on the road to see the job in action Phase 1 Training (2 weeks) - Technical training at our specialist centre in Peterborough On-the-Job Learning (6 - 9 months) - Build your skills with real customers Phase 2 Training (1 week) - Level up your knowledge learning another appliance What You'll Need We're looking for people who are: Passionate about customer service Interested in electrics, mechanics, or hands-on problem-solving Hold a full UK manual driving licence Physically fit - able to move and lift appliances Eligible to work in the UK No previous field engineering experience is required - just a great attitude and a willingness to learn! What's In It for You? Pay: £27,377 - £28,352 per year (daily rate equivalent via umbrella company) Bonuses: Commission + overtime opportunities Vehicle: Fully equipped company van + fuel card Time Off: 20 days holiday + bank holidays increasing to 25 days once permanent Progression: The chance to move into a permanent role within 12 months with even more rewards Why Choose Hotpoint? Learn from the best with industry-leading training Join a globally respected brand trusted by millions Enjoy a secure career path with opportunities to grow Be part of a team that values skill, effort, and dedication Ready to Apply? This is more than just a job - it's the start of a long-term career where you'll learn new skills, meet great people, and be proud of what you do. Hit Apply and take the first step to becoming a fully qualified Field Service Engineer with Hotpoint. For further information please contact The Academy Team!

Technical Lead, Machine Learning Permanent | £180,000 Base Salary + Meaningful Equity London/Remote The Opportunity to Build Something Defining Most AI roles involve improving existing systems. This opportunity is about creating them. We're partnering with a heavily funded AI venture on a mission to build a next-generation intelligent assistant capable of helping users manage conversations, workflows, tasks, and real-world actions with minimal prompting. The company has committed significant investment to building a world-class organisation and is embarking on a major hiring programme, creating a rare opportunity for exceptional engineers to join at a stage where their impact will be both immediate and lasting. As Technical Lead, Machine Learning , you won't be inheriting Legacy systems or maintaining someone else's architecture. You'll help define the foundations of the platform itself-shaping how the product reasons, remembers, plans, and executes tasks on behalf of users. This is a role for someone who wants to build category-defining technology rather than incremental improvements. Why This Role Stands Out Most senior ML opportunities offer scale. Few offer ownership. Here, you'll have the opportunity to: Define the machine learning architecture that powers the entire product. Influence technical strategy at the highest level. Build systems from first principles rather than work within established constraints. Solve some of the hardest challenges in AI, including memory, reasoning, reliability, and real-world task execution. Work alongside a small team of exceptional engineers, researchers, and builders. See your work directly influence the product experience for millions of future users. For ambitious engineers who enjoy solving difficult problems and having a visible impact, opportunities like this are rare. What You'll Own You will lead the design, development, and operation of the company's core ML systems, including: Machine Learning Infrastructure End-to-end training pipelines Evaluation and benchmarking frameworks Production inference architecture Monitoring, observability, and performance systems Deployment and scaling infrastructure Large Language Models Fine-tuning foundation models using: LoRA QLoRA SFT DPO Distillation Improving model reliability and reasoning capabilities Building systems that move beyond simple chat applications into real-world task execution Production AI Systems GPU optimisation and infrastructure efficiency Low-latency inference systems Scalability and reliability engineering Cost and performance optimisation AI safety and evaluation frameworks Technical Leadership Drive architectural decisions across the ML platform Partner closely with Product and Engineering teams Mentor and influence other engineers Establish technical standards and best practices Who We're Looking For We're interested in exceptional builders who have demonstrated the ability to take ideas from concept to production. You may currently be a: Technical Lead, Machine Learning Staff Machine Learning Engineer Principal Machine Learning Engineer Founding AI Engineer Founding ML Engineer Research Engineer Lead AI Engineer Early employee at a high-growth AI startup Ideal Experience Strong Python software engineering skills Expertise with PyTorch and/or JAX Experience deploying machine learning systems into production Deep knowledge of LLMs and Generative AI Hands-on experience with LoRA, QLoRA, DPO, RLHF, SFT, or related techniques Experience building inference platforms and ML infrastructure Strong understanding of scalability, reliability, and performance optimisation Previous startup or high-growth environment experience is highly desirable The Person The successful candidate will likely be someone who: Enjoys building from zero to one Thrives in high-autonomy environments Takes ownership of outcomes, not just tasks Makes pragmatic decisions and executes quickly Balances innovation with engineering discipline Wants to work on problems that genuinely push the boundaries of applied AI Package Permanent Position £180,000 base salary Meaningful equity participation Significant ownership from day one Direct influence over product and technical direction Flexible working environment Opportunity to help build a globally impactful AI company Interested? If you're excited by the idea of building the intelligence layer behind a next-generation AI platform-and want the opportunity to help shape both the technology and the future of the company-we'd love to speak with you. Apply now for a confidential discussion.

Job Title: Senior AI Product Engineer - Python, LLMs Location: London (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced AI Engineer to join a rapidly growing organisation. This is a unique opportunity for someone who thrives at the intersection of product leadership, AI innovation, customer engagement, and commercial strategy. You'll operate across the full product lifecycle shaping roadmaps, working closely with engineering teams, engaging senior stakeholders, and delivering AI solutions that solve real-world business problems. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. Own and lead the end-to-end development of enterprise AI products from concept through to market launch and scale Define product strategy, roadmap, success metrics, and go-to-market plans Partner with AI engineers and data scientists to build production-grade AI capabilities Engage directly with senior client stakeholders, from analysts to C-suite executives, translating business challenges into AI-driven solutions Key Skills and Experience you must have: Strong experience in AI Product management, AI Strategy and engineering Hands-on experience building and scaling AI or machine learning products in production environments. Experience understanding LLMs RAG Architecture and agentic workflows Excellent experience with Python. Excellent experience working with AI platforms (Claude, Open AI and AI orchestration frameworks) Experience within Financial services. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV.

hackajob is collaborating with Capital One to connect them with exceptional professionals for this role. Lead Software Development Engineer - Data Engineering About this role It's an exciting time at Capital One UK. We're on a mission to continue to build and modernise the cloud-based data ecosystem to unlock the power of data, increase financial inclusion and deliver transformative experiences to our customers. The Win with Data team owns the services that form our Data Ecosystem, creating and maintaining API's, backed by Java and Python microservices to manage and unleash the value of data across the full data lifecycle. From capturing data in real time, making sure it is accurate & easy to use, to enabling analysis for deep insight backed by the power of Cloud based data-stores & scalable machine learning, the Capital One Win with Data team is leading the way. We are seeking a Lead Software Development Engineer to join us on our mission, where you'll use a number of different languages (such as Java, Python, React/Typescript), to build both front and backend solutions, solving complex problems as we continue to build our next generation data ecosystem, to help our customers. What you'll do You'll work as a technical lead in a self-organised Data engineering team to design and develop software features that are impactful for the lives of credit card consumers across all walks of life Your focus will be on a major portion of existing or new team software (e.g. significant component, set of features, mid-size application or service). You'll work to achieve the goals and vision shared by Product Management and your Outcome Team Leadership. You will drive engineering best practices (e.g. Operational Excellence, Security, Quality, etc.) and set standards across your team and wider engineering teams. You will innovate within your team, initiative area and contribute within your technical domain. What we're looking for Experience performing as a Technical lead within a team, working with stakeholders to deliver great outcomes at pace, whilst influencing across wider Engineering teams, to encourage best practice and coaching of more junior engineers. Strong programming skills with a good working knowledge of modern OO languages/technologies such as Java, Python, React/Typescript. Demonstrable knowledge of creating architectural designs that meet the business need. You're able to effectively communicate and work together across engineering to maximise inner-sourcing opportunities and reduce waste. You'll have demonstrated experience delivering high quality applications at scale. Experience of writing multiple test types and can support the team leveraging approaches such as Pair Programming, TDD and BDD. You have experience of leading and delivering complex projects with precision Demonstrable experience in developing and deploying applications in Cloud/AWS

Lead AI Engineer London (Hybrid, 1 day per week) Up to £110,000 + 15% Bonus This is an exciting opportunity for a Lead AI Engineer to join a business making significant investment in AI and automation. You will play a pivotal role in shaping AI strategy, leading the delivery of production-grade GenAI solutions, and driving innovation across multiple high-impact business areas. With strong executive backing and a growing pipeline of AI initiatives, this role offers genuine influence and ownership from day one. The Company They are a well-established, technology-driven organisation operating at scale within a highly regulated environment. As part of a wider digital transformation programme, they are investing heavily in AI, automation, and advanced data capabilities to improve customer experiences and operational efficiency. Their AI function is expanding rapidly, with multiple GenAI and machine learning initiatives moving from concept into production. You will join a collaborative team where technical expertise is valued, decisions are made pragmatically, and innovation is closely aligned to measurable business outcomes. The Role As a Lead AI Engineer, you will be responsible for leading the design, development, and deployment of AI solutions that deliver real business value. Responsibilities include: Owning end-to-end delivery of AI and GenAI solutions from discovery through to production. Leading architecture decisions and providing technical direction across multiple AI initiatives. Building scalable, secure, and reliable AI applications within an enterprise environment. Driving build versus buy evaluations and recommending appropriate technologies. Delivering solutions including retrieval-augmented generation (RAG), agentic AI, automation, and intelligent decision-support tools. Working closely with engineering, security, governance, and business stakeholders. Navigating complex and ambiguous problem spaces to identify practical AI opportunities. Providing technical leadership, guidance, and mentoring within the AI engineering function. Contributing to the wider AI strategy and future direction of the capability. Your Skills & Experience Strong commercial experience delivering GenAI solutions into production environments. Proven ability to lead AI projects from concept through deployment and operational management. Excellent software engineering fundamentals and experience building scalable applications. Experience making architecture and technology decisions within enterprise organisations. Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts. Experience working with cloud platforms, ideally AWS. Ability to balance innovation with risk, governance, and operational requirements. Strong stakeholder management and communication skills. Experience within financial services or other regulated environments would be beneficial. Demonstrable experience operating at Lead Engineer, Technical Lead, or equivalent level. What They Offer Hybrid working model with flexibility and a strong focus on outcomes. Opportunity to influence AI strategy within a growing and highly visible function. Exposure to a broad portfolio of AI transformation initiatives. Career progression within an expanding AI and engineering capability. Autonomy, ownership, and the opportunity to deliver meaningful business impact at scale. How to Apply If you are a Lead AI Engineer with proven experience delivering production-ready GenAI solutions and want to play a key role in shaping the future of AI within a large-scale organisation, please apply today.

Senior Solution Architect - AI & Automation Remote - UK Up to £80,000 VIQU are partnering with a leading enterprise organisation embarking on a large-scale AI and automation transformation, investing heavily in intelligent technologies to enhance operational efficiency and drive innovation across the business. They are looking for a Senior Solution Architect - AI & Automation to lead the design of enterprise-scale AI, automation, and workflow solutions, working closely with business stakeholders, architecture teams, and engineering functions to deliver secure, scalable, and future-focused technology solutions. Key Responsibilities of the Senior Solution Architect - AI & Automation: Lead the design of enterprise AI, Generative AI, and intelligent automation solutions, ensuring alignment with business strategy and architectural standards Define end-to-end solution architectures across AI, automation, cloud, and enterprise platforms Work closely with business stakeholders, product owners, and technical teams to translate business requirements into scalable technical solutions Design integration strategies across complex enterprise environments using APIs, microservices, messaging, and cloud-native technologies Provide architectural oversight throughout project delivery, supporting engineering teams to ensure successful implementation Produce and maintain architecture documentation, standards, and solution artefacts using Enterprise Architecture tools Ensure solutions meet security, governance, compliance, resilience, and scalability requirements Contribute to technology roadmaps, architecture standards, and the ongoing adoption of emerging AI and automation technologies Mentor Solution Architects and provide technical leadership across the wider architecture function Key Experience Required of the Senior Solution Architect - AI & Automation: Proven experience as a Solution Architect, Software Architect, or similar role designing enterprise-scale AI, Generative AI, and intelligent automation solutions Strong experience architecting cloud-based solutions across Microsoft Azure, AWS, or Google Cloud platforms Extensive experience working with Microsoft technologies, including 3-5 years' hands-on experience with the Microsoft Power Platform (Power Automate, Power Apps, and Power Pages) Strong understanding of Machine Learning, Generative AI, MLOps, DevOps, and the delivery of scalable AI solutions Knowledge of enterprise integration technologies including APIs, microservices, JSON, XML, messaging solutions, ESB, and SOA Experience working with Enterprise Architecture frameworks such as TOGAF and Enterprise Architecture tooling Strong understanding of Agile delivery methodologies, including Scrum, backlog management, Epics, and User Stories Knowledge of database technologies including SQL and NoSQL, alongside modern data management best practices Excellent stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences Microsoft Solutions Architect certification is desirable, although AWS Solutions Architect certification will also be considered Apply now to speak with VIQU IT in confidence, or reach out to Katie Dark via the VIQU IT website. Do you know someone great? We'll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment. Senior Solution Architect - AI & Automation Remote - UK Up to £80,000

AI, Automation & Application Development Lead Salary - 50,000 Type of role - 12-Month FTC Location - Baston 5 Days Onsite Are you passionate about using technology to solve real business problems? We're looking for an AI, Automation & Application Development Lead to drive digital transformation across our manufacturing operations. Working directly with the Head of Operations, you'll identify manual processes, design automation solutions and develop internal applications that improve efficiency, reduce costs and modernise the way the business operates. Responsibilities Analyse operational processes and identify automation opportunities Design and develop internal business applications Build workflow automation and AI-powered solutions Integrate business systems, databases and third-party platforms Develop dashboards and reporting solutions using Power BI Replace spreadsheet-based processes with scalable digital systems Work closely with operational teams to deliver practical technology improvements Lead digital transformation initiatives from concept through implementation Required Skills Experience developing business applications or internal software Strong coding skills (Python, C#, JavaScript or similar) SQL and database knowledge API integration experience Power BI and data reporting Process automation experience Excellent stakeholder engagement skills Ability to work independently and drive change Desirable Manufacturing or industrial experience Microsoft Power Platform ERP/CRM systems AI or machine learning solutions Digital transformation projects This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo . Co .uk Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Senior Product Owner Location: Cardiff (Hybrid) Salary: 65,000 - 80,000 + Bonus CPS Group are working with a financial technology organisation that is investing heavily in its product function as it continues to expand across multiple markets. This is an great opportunity to play a key role in shaping the future of a market-leading SaaS platform, working on greenfield initiatives alongside the ongoing evolution of established products. This is a senior position offering genuine autonomy, strategic influence, and the opportunity to work with modern technologies, AI-driven innovation, and cross-functional teams to deliver products that have real business impact. The Role As a Senior Product Owner, you'll own one or more complex software products, defining product strategy, prioritising delivery, and ensuring your roadmap delivers measurable value to customers. Working closely with Engineering, Technology, QA, Professional Services and senior business stakeholders, you'll drive product direction, manage competing priorities, and translate complex business challenges into clear, deliverable solutions. You'll also help shape wider product strategy, mentor Product Owners within the team, and champion best practice across product discovery, backlog management and Agile delivery. Key Responsibilities Own the vision, roadmap and delivery of complex SaaS products. Define priorities and make strategic product decisions that deliver measurable business value. Lead product discovery and backlog management within an Agile/Scrum environment. Translate complex business requirements into clear user stories and product outcomes. Collaborate with Engineering, QA and Delivery teams throughout the development lifecycle. Build strong relationships with internal and external stakeholders, influencing at all levels. Analyse product performance using metrics and customer feedback to drive continuous improvement. Identify opportunities to leverage AI, automation and data-driven solutions to improve products and user experience. Mentor and support other Product Owners, helping raise standards across the wider product team. About You We're looking for someone who has: Significant experience as a Product Owner within Financial Services, FinTech or another highly regulated software environment. Strong knowledge of lending, credit, loan origination, onboarding or loan servicing platforms. Experience owning complex SaaS products across multiple customers or markets. Excellent stakeholder management skills with the confidence to influence senior business leaders. A proven track record of delivering large-scale software projects in Agile environments. Strong experience using tools such as Jira, Confluence, Azure DevOps or similar. The ability to balance strategic thinking with hands-on product ownership. Experience mentoring or coaching other Product Owners would be highly advantageous. Desirable Experience delivering products across multiple countries or regulatory environments. Exposure to AI or Machine Learning within software products. Strong understanding of product analytics, KPIs and outcome-based product development. Technical awareness of software architecture and modern SaaS platforms. Contact: Zach Bennett - CPS Group By applying to this advert you are giving CPS Group (UK) Ltd authority to hold and process your data for this specific role and any other roles we may deem suitable to you over time. We will not pass your data to any third party without your verbal or written permission to do so. All incoming and outgoing calls are recorded for training and compliance purposes. CPS Group (UK) Ltd is acting as an Employment Agency in relation to this vacancy. Our new privacy policy can be found here (url removed)