46350 jobs found

Fleet Compliance Manager Location: Worcester Salary: £42,000 - £46,500 (DOE) We're working with a well-established logistics and warehousing operation seeking a hands-on Fleet Compliance Manager to take ownership of fleet, safety and compliance across a fast-paced environment click apply for full job details

Building Surveyor Location - Oxford The successful candidate will be part of a team of building surveyors covering projects for an interesting range of essential Clients. You'll be at the forefront of their projects spanning their core sectors: Education, Commercial, Care, and Health care. What You'll Be Doing Preparation and negotiation of the schedule of dilapidations Preparation of schedules of works Contract Administration Assessment of rebuild cost for insurance purposes Planned maintenance programmes What We're Looking For You will be qualified to degree level or equivalent in Building Surveying Why Join? 28 days paid holiday (including bank holidays) Additional paid leave between Christmas and New Year Company pension scheme Annual performance-based bonus opportunities Regular social events Full coverage of RICS and other professional membership fees Paid training and development courses Apply today or reach out for a confidential chat about the role. (phone number removed) or email (url removed)

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Senior CDM Principal Designer - Leeds A real estate and construction consultancy based in Leeds is seeking a Senior CDM Principal Designer who can win work through strong business development skills, whilst also leading project delivery and acting as the sole CDM Principal Designer across a range of residential, commercial, retail, education and healthcare projects. They have several long-standing frameworks in place, allowing you to build long-standing relationships and grow in your role as a Senior CDM Principal Designer. This would suit a Senior CDM Principal Designer who is looking for work-life balance without affecting their exposure to large-scale projects. The Role The successful Senior CDM Principal Designer will be heavily involved in mitigating risk at early design stages, whilst also leading on all CDM-related risks. The role requires clear communication to ensure the handover to the Principal Contractor is as effective and smooth as possible. The Person The successful Senior CDM Principal Designer will have at least 4 years' experience in a CDM Principal Designer capacity. You will have a proven track record in business development or be able to bring an existing client base or pipeline of work. You will hold full membership with APS and/or IOSH (Tech IOSH or IMaPS). In Return The salary and package are negotiable depending on your experience, qualifications and ability, but as a guide: Up to 75,000 per annum Car allowance Generous bonus scheme Pension contribution Season ticket loan Gold standard healthcare scheme Gym membership If you are a CDM Principal Designer currently considering your options, please contact Bex Ellinger on (phone number removed). CDM / Principal Designer / Construction / NEBOSH / IOSH / Tech IOSH / Health and Safety / Architecture / CertIOSH / ARB / CMIOSH / APS / IMaPS / AaPS / CMaPS / CDM Consultant / CDM Advisor / RIBA / Design Safety / Construction H&S

Job Title: Freelance Senior Quantity Surveyor Location: Preston, Lancashire Rate: Competitive Day Rate (DOE) Duration: Long-Term Contract Start Date: Immediate / Short Notice About the Company We are recruiting on behalf of a respected regional building contractor based in Preston, delivering high-quality construction projects across the North West click apply for full job details

Customer Advisor - Private Medical Insurance - Starting salary between £26,900 to £29,650 (depending on hours, skills, and experience) plus additional benefits Do you love helping people and making a real difference? Are you someone who thrives in a fast-paced environment and builds great relationships with ease? If you're passionate about delivering brilliant service and supporting people when they need it most - we'd love to hear from you. Our standard full-time contracts are for 35 hours per week (with options for part time working, after the initial 18-week full time training period). However, we want you to have the flexibility to increase your working hours if it suits you, so we also offer a 40-hour contract which has an enhanced salary of up to £33,885 (after the initial 18 week training period) Flexible shift pattern between 08:00 - 18:30, Monday - Friday A bit about the job You'll be the first point of contact for customers making a health insurance claim. Whether it's booking an appointment, sorting out a bill, or arranging overnight care - you'll guide them through every step. You'll help customers access the private treatment they need, from outpatient tests to aftercare. You'll also handle occasional complaints, with full support from your team. It's a role that really matters - and one where you can make a big impact. Skills and experience we're looking for Great communication skills and experience in a customer-facing role. Empathy and the ability to support people through difficult times. A natural problem-solver who asks the right questions to get things done. Detail-focused and confident making decisions based on facts. Insurance or financial services experience is a bonus - but not essential. What you'll get for this role Our purpose - with you today, for a better tomorrow - is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague. Starting salary between £26,900 and £29,650 (depending on location, skills, experience, and qualifications) Our standard full-time contracts are for 35 hours per week (with options for part time working); we also offer a 40-hour contract which has an enhanced salary of up to £33,885. Bonus opportunity - 6% of annual salary Actual amount depends on your performance and Aviva's. Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in. 25 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days Aviva-funded Private Medical Benefit to help you get expert support when you need it Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme Brilliantly supportive policies including parental and carer's leave Flexible benefits to suit you, including sustainability options such as cycle to work Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others We take your wellbeing seriously with lots of support and tools Take a look to learn more. Put a salary into this calculator to see what your total Aviva Reward could be. Aviva is for everyone We're inclusive and welcome everyone - we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don't, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working - spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues. To find out more about working at Aviva take a look here We'd love it if you could submit your application online. If you require an alternative method of applying, or if you have any queries in relation to the vacancy, please contact Bhavya Tejaswi - .

A rapidly growing Quantity Surveying and Project Management consultancy in London are seeking a hard-working Senior Quantity Surveyor with a track record of working on Commercial projects valuing upwards of £30m. The Senior Quantity Surveyor's role The new Senior Quantity Surveyor will join a consultancy of circa 30 and be part of a team who work on an impressive portfolio of commercial, life scienc click apply for full job details

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Excellent opportunity for a Paralegal with Private Client experience to join a medium-sized law firm in London. Duties include assisting wtih drafting Wills, LPS's, probate documentation and Estate Administration. Attention to detail is very important and you will also require previous experience as a Paralegal in Private Client. A Law degree (min.2:1) is essential.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We are looking for a Logistics Supervisor to join a growing team in the Enfield area. This is a permanent position with opportunities for progression for the right candidate. Working Hours: Monday to Friday: 6:00am - 4:00pm and 10:00am - finish Occasional Saturdays during peak periods Key Responsibilities: Health and Safety administration, including drivers' hours compliance Organising all aspects of deliveries to customers and incoming materials, including invoices, documentation, quotes, and management of returns Producing regular reports on costing, logistics, and inventory management Creating and managing staff rotas Other office and supervisory duties as required Requirements: Excellent communication skills Strong understanding of warehouse operations Good computer literacy, including Microsoft Office and ERP systems (e.g., Sage) High level of attention to detail, accuracy, and planning ability Ability to identify areas for improvement and implement solutions Previous experience in stock management and logistics If you are organised, proactive, and ready to take the next step in your logistics career, apply today!

Our Client a leading Niche litigation firm, They are seeking either good calibre paralegals to work on complex and quite often high-profile Criminal Fraud cases. They are recognised as one of the leading criminal and Fraud litigation firms in the country and ranked in the highest tier by both the Legal 500 and Chambers UK. They are looking for candidates who want to work in a dynamic and fast paced environment alongside the firm's excellent litigation lawyers. We are seeking litigation paralegals to work full time in the London Office based in the city. The Role - Areas of Work The role will involve assisting Partners and Associates with a wide range of litigation matters. The successful applicant will be expected to work in the areas of Criminal Fraud, Regulatory and Sanctions with High Net-worth clients. Ideal candidates must have at least 2 years experience within a litigation Paralegal role, ideally Criminal. There will be Training Contract opportunities available.

Quality Compliance Technician Telford Permanent Up to £38,000 per annum (depending on experience) This organisation is a real success story who have had a number of exciting developments over the last few years. This means they are now at the point where they are ready to bring in an additional person who can work with the existing Quality Engineering team to support both Supplier, Internal and custom click apply for full job details

Trainee Junior Project Manager Placement Programme Please note that this is a training course and fees apply. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. Are you looking to start a new career in Project Management? If you are organised, competent, dependable and can communicate well and motivate those around you; you could have a truly rewarding future in Project Management. We specialise in placing candidates within the project sector using our career progression and placement program. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience project worker as we will be looking primarily at entry level roles. Using our experience in providing project management training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in the Project Management sector. The courses in the package have been identified by our recruitment partners as industry standards for the UK and European project sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - APM (Association for Project Management) Qualification The first step is completing the APM Project Fundamentals Qualification (PFQ) This professional industry-recognised qualification teaches you the fundamental principles of the project profession. The APM are the only chartered project management group in the world. Study time for the qualification is approximately 20 hours and qualification achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a 1hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a Chartered Project Professional with additional study and experience. Step 2 - PRINCE2 Foundation PRINCE2 is the most recognised methodology used by Project Managers worldwide and therefore an essential qualification for anybody looking to work in Project Management. It is a process driven methodology and often referred to as a waterfall methodology. Study time is approximately 15-20 hours and qualification obtained through a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a 1-hour online revision workshop prior to sitting your exam. Step 3 - Project Management Simulation With our exclusive online Simulated Project Assignment, you will have the opportunity to make your way through a simulated project which shadows a project manager. These projects and scenarios are based on real world project and scenarios. Once completed, our tutor will grade your work and issue a certificate of completion. Step 4 - Recruitment Support Now you are qualified for an entry level project management position our recruitment support team will now begin collaborating with you to help you secure your first role in the project management sector. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.9 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Typically, an initial deposit of around £180 is required to start the training meaning many candidates are placed in their first role before completing the 12 months finance. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Project Management career aspirations. We look forward to receiving your new application and putting you on the pathway to a new and financially rewarding career in project management

Closing date: 14-05-2026 Customer Team Member Location: Lake Road Bowness-On-Windermere, Windermere, LA23 3BT Pay: £13.04 per hour Contract: 12 hours per week + regular overtime, permanent contract, part time Working pattern: varied shifts including early mornings (store opening), afternoons, late evenings (store closing) and weekends, to be discussed at interview Full, paid training provided You can apply for this role using your mobile device (no CV needed!) We're looking for Customer Team Members to join our team at Co-op. When you join Co-op, you'll get amazing benefits including 31 days holiday, a pension with up to 10% Co-op contribution, access to virtual healthcare services for you and your family, and a 30% discount on all Co-op products in our stores. As a Customer Team Member, you'll be part of a friendly team that's dedicated to helping our customers. We'll look to you to provide them with great service on the tills and the shop floor, while also performing a wide range of other tasks around the store like re-stocking shelves and cleaning up spillages. At Co-op, we do things a different way. For over 175 years we've focused on making things fairer for our members and their communities, and as a colleague we promise to take care of you. You'll get support for your physical, mental, and financial wellbeing, as well as market leading policies to help you through life events from bereavement and pregnancy loss to fertility treatment and menopause. What you'll do Friendly and thoughtful service - you'll put customers first in everything you do: responding to queries, championing Co-op products and Membership, and doing all you can to deliver a great shopping experience Work together to make everyone's day better - supporting your store colleagues to solve problems for customers and members Make sure the store safe and legal - keep the shelves stocked and make sure prices, dates, and temperatures are all as they should be Help introduce new products and services - make changes feel natural, sharing experiences with your colleagues so everyone learns together Support your local community - get involved in all kinds of activities and events! This job would suit people who have A genuine care for the needs of customers and members Great people skills, with the ability to build positive relationships with customers and colleagues A positive approach to change and problem solving The flexibility to work a range of different shifts Why Co-op? 30% discount on all Co-op products in-store plus 10% discounts on all other brands A pension scheme with up to 10% employer contributions Stream- a money management app giving you access to a percentage of your pay as you earn it 31 days of holiday (including bank holidays, pro rata for part time colleagues) Virtual healthcare services for you and your family, including access to GP appointments, eye care, mental health support, and nutrition and fitness consultations 24/7 employee assistance service Full, paid training and dedicated support for your personal development and career progression Rotas shared three weeks in advance and accessible on your phone Cycle-to-work scheme Building an inclusive workplace We're building diverse and inclusive teams that reflect the communities we serve. We welcome applications from everyone and are committed to creating a workplace where colleagues can feel like they belong, supported by our inclusive policies and the ways we work. We're proud to be part of the Disability Confident scheme and offer interviews to disabled candidates who meet the minimum criteria for a job. If you need any adjustments during the recruitment process, we'll support you. Learn more about our recruitment process at jobs.coop.co.uk/apply-process and our inclusion commitments at jobs.coop.co.uk/diversity-inclusion As part of the application process for this job, you'll need to complete two online assessments. It will take around 20 minutes to complete these tests. We reserve the right to remove a vacancy before the scheduled closing date.

Qualification Type: PhD Location: Manchester - UK Funding for: UK and International Funding amount: £21,805 per annum Start date: September 2026 Hours: Full Time Closes: 29 May 2026 (midnight) PhD by Enterprise (Alliance Manchester Business School) The University of Manchester's PhD by Enterprise is a new four year doctoral programme that combines world class research with structured entrepreneurship training. The programme enables the University's research portfolio to generate tangible economic, environmental and societal impact through venture creation and enterprise-led pathways. The programme includes a fully funded studentship to commence in September 2026, covering tuition fees, UKRI stipend (2026/27 rate £21,805 per annum) and Research Training Support Grant. You will be based in the Alliance Manchester Business School at The University of Manchester, a top 5 UK business school (QS World University Rankings 2026). Project details: AIDE: Agentic Intelligence for Decision-making in Investment and Enterprise Investment and venture evaluation environments, such as venture capital, private equity, and university innovation ecosystems, are becoming increasingly data intensive. Yet despite the abundance of available information, decision-making across deal sourcing, evaluation, due diligence, and post investment monitoring remains fragmented and highly manual. Current commercial platforms excel at search and data aggregation, but they provide limited support for deeper reasoning, scenario exploration, or coordinated, lifecycle wide decision support. This PhD project, AIDE: Agentic Intelligence for Decision-making in Investment and Enterprise, aims to address these challenges by developing next-generation AI systems capable of supporting holistic, data-driven and uncertainty-aware decision-making. Based in the prestigious Alliance Manchester Business School, the project will also explore the design and development of knowledge graphs to structure and connect heterogeneous data sources, enabling richer contextual understanding and reasoning. The project offers an exciting opportunity to work at the frontier of applied AI, decision sciences, and real-world innovation ecosystems, advancing new research while contributing to a potential future commercial venture. A central ambition of the project is to build AI systems that are not only powerful, but also explainable. Investment decisions are high-stakes, and users must be able to understand why the system recommends particular actions or highlights certain risks. The PhD will explore explainable AI (XAI) methods that enable transparency, interpretability and user trust, ensuring that recommendations can be interrogated, justified, and adapted by human experts. This includes surfacing the key evidence, assumptions, and uncertainties underpinning each step of the decision process, potentially leveraging knowledge graph structures to trace relationships and reasoning paths across data. The research will investigate how diverse information sources, such as structured financial data, textual documents, company disclosures, and online signals, can be integrated into unified representations that support robust reasoning, including the construction and utilisation of knowledge graphs for entity linking, relationship modelling, and semantic integration. Equally important is modelling uncertainty: decision-makers often work with incomplete, noisy or fast-changing data. The project will examine techniques for quantifying and propagating uncertainty across multi-stage workflows, enabling users to explore how assumptions or market changes affect potential outcomes. The student will also study how multiple AI agents can collaborate to reflect real-world investment workflows, coordinating tasks such as screening, due-diligence analysis, risk assessment and scenario modelling, with knowledge graphs potentially serving as a shared structured memory and coordination layer across agents. The design will emphasise human-AI collaboration, ensuring users retain oversight, agency, and the ability to challenge or override recommendations. Methodologically, the project blends machine learning, probabilistic modelling, multi-agent systems, explainable AI, and human-computer interaction, alongside knowledge representation and graph-based reasoning techniques. A design-science research approach will be used, with iterative prototyping, evaluation using realistic scenarios, and engagements with practitioners from investment and innovation communities. Academic Criteria: Bachelor's (Honours) degree at 2:1 or above (or overseas equivalent); and Master's degree in a relevant cognate subject normally with an overall average of 65% or above (or equivalent) Professional qualifications and/or relevant and appropriate experience. Desirable Criteria: A degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Statistics, Mathematics, Engineering, Information Systems, or a closely related discipline. A Master's degree in one of the above areas. Strong analytical and programming skills (e.g., Python, machine learning frameworks) are advantageous, alongside an interest in applied AI, decision making systems, and explainable or uncertainty aware modelling. Candidates from numerate disciplines with professional experience in data science, analytics, financial technology, investment analysis, or innovation ecosystems are also encouraged. Crucially, applicants should be motivated to conduct high quality research at the intersection of AI and real world enterprise applications, with an interest in developing transparent, explainable and user centred decision support technologies. English Language Evidence: IELTS minimum scores - 7.0 overall, 6.5 other sections. Other tests may be considered. TOEFL (internet based) test minimum scores - 100 overall, 25 in all sections. Pearson Test of English (PTE) UKVI/SELT or PTE Academic minimum scores - 76 overall, 76 in writing, 70 in other sections. To demonstrate that you have taken an undergraduate or postgraduate degree in a majority English speaking nation within the last 5 years. Other tests may be considered. The application deadline will be 11:59PM (GMT) on 29/05/26. Apply online for 'PhD by Enterprise HUMS'. If you would like to discuss the project further, contact Prof Richard Allmendinger ()

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do : Support the Senior Product Manager - Creative Capabilities to enable our Product Vision & deliver the Product Backlog for Workflow Management enabling the business to deliver on their requirements. Support a delivery roadmap of features, product releases, and integrations with the wider Sky technology & tooling ecosystem . Govern the usage of the Workflow management platforms within the business, managing the operating model and establishing appropriate controls and workflows for our tools. Enable business adoption , supporting Ideation Workshops and User Story Creation, to drive product requirements and drive the adoption of workflow management in the business. Advise on Workflow management best practice including Process Documentation, Design and Implementation, meta data and tagging, and operating model development. Join Quarterly Planning & support experimentation & development teams in sprint planning as required . Support our Workflow management vendor partnerships & ensure tooling remains best-in-class . Ensure Technology Stack for Workflow Management adheres to Compliance & Policy Requirement s . Support MarTech leadership in implementing martech strategy and specific initiatives . What you'll bring : Experience of working with Adobe Workfront or similar Workflow management tools, integrating them with wider marketing technology & ensuring deployment and adoption across complex organisations. Experience working with Adobe Fusion preferable but not essential, identifying opportunities to use this or similar IPAAS to optimise and automate workflows. Experience with additional marketing technology capabilities preferred, as it will be beneficial in working with wider teams across the business. This could include Workflow tools, digital marketing, creative suite tooling, personalisation and others. A proven track record of product ownership in a complex & fast moving organisation. Proven track record influencing and working with decision makers to drive strategic decisions. Experience working in Agile Product Management preferred, and experience of SAFe Framework beneficial. Demonstrable experience of having built effective and trusted relationships with partners. Highly collaborative style and able to thrive in a team with experience of operating in a matrix structure, in fast paced organisations. A passion for media and technology - it's at the core of everything we do. Team Overview The Marketing Technology team deliver capability that allows us to attract, engage & retain customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on: Deepening of Martech specialisms and greater alignment and visibility across the group to drive additional value and economies of scale. Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities Embedding best practice technologies and championing their adoption to further consolidate technology choices. Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation. Building internal Martech capabilities to enable & empower teams aoss Sky Residential & Group OTT and to drive operating efficiencies. The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications. offer.

Company Description Great Bear (Part of the Culina Group) provides distribution services to FMCG clients. Customer centric service focus is delivered through a site-level empowered culture. At Culina we have a winning culture, we believe that our culture is one of the reasons our company continues to thrive A place where you're valued, challenged, and inspired! Job Description Job responsibilities of F click apply for full job details