17820 jobs found

Complaints Officer (Stage 2) Location: South London Contract: Temporary Hours: 36 per week Pay: 24 - 26 PAYE per hour Working Pattern: Hybrid available Social Housing Experience Required Daniel Owen are proud to be representing a well-known client based in the South London area who are looking for a highly skilled Complaints Officer to join their team Key Responsibilities: Handle complaints in line with legislation and Ombudsman requirements. Act as an objective investigator for Stage 2 complaints and formal enquiries. Work with senior managers to prepare adjudications under statutory procedures. Promote effective, transparent complaints handling across the company. Deliver training and guidance to staff on complaints processes and legislation. Use case management systems to monitor performance and identify trends. Contribute to service improvement projects and share learning from complaints.

eDiscovery Lead for International Law firm Can be based in London or North West (based on candidates location) Opportunity: An exceptional opportunity has arisen to join a leading international law firm with a top-tier Disputes practice. This is a chance to play a key role in shaping and developing a growing Technology & E-Discovery function, supporting complex, high-profile disputes and investigations. This position sits at the heart of the firm s strategic growth plans, combining innovative legal technology with expert legal services to deliver cutting-edge e-disclosure solutions. The Role As Technology & E-Discovery Manager, you will lead the delivery of end-to-end e-discovery services across a diverse range of matters. You will act as the central point of expertise, working closely with legal teams to implement tailored digital solutions and ensure best-in-class service delivery. You ll also play a pivotal role in building capability within the team, driving innovation, and enhancing the firm s use of technology-assisted review tools. Key Responsibilities Partner with Disputes teams to design and deliver tailored e-discovery strategies Act as the primary contact for document review and legal technology queries Oversee the full lifecycle of e-discovery projects, from data collection to production Build, mentor, and develop a junior team, providing ongoing training and support Deliver training sessions to both internal stakeholders and clients Stay ahead of industry trends and emerging technologies, sharing insights across the business Ensure compliance with legal and regulatory requirements relating to disclosure About You You ll be a highly experienced e-discovery professional with strong technical expertise and a collaborative approach. Key skills and experience include: Deep understanding of document review platforms and disclosure processes Hands-on experience with leading tools (e.g. Relativity, Nuix or similar) Strong knowledge of AI-driven review technologies such as TAR and CAL Proven experience managing teams and delivering training Solid understanding of the Electronic Discovery Reference Model (EDRM) Experience implementing quality control processes and mitigating risk in review workflows Ability to advise on strategic use of technology in complex matters Experience with scripting or automation is advantageous Strong client-facing experience within professional services or legal environments Why Apply? Opportunity to build and shape a growing function within a prestigious firm Exposure to complex, high-value disputes and investigations Work with cutting-edge legal technology and AI tools Collaborative, forward-thinking environment with strong career progression eDiscoveryJobsLiverpool, eDiscoveryjobsLeeds About Brimstone Consulting: We specialise in finding highly qualified staff in the following areas: E-Discovery and Digital Forensics; Payments; Fraud - (AML/CTF, Investigation, CFE s etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance ; IT - (full SDLC- BA s PM s , Architects, Developers etc.); Big Data and Data Analytics - (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance Brimstone Consulting acts as an employment agency (permanent) and as an employment business (temporary) - a free and confidential service to candidates. Brimstone Consulting is an equal opportunities employer. Due to time constraints we can only reply to applicants that match our clients specifications. Our Data Protection number: ZA(phone number removed)

Financial Controller Salary: £50,000 - £65,000 DOE Location: North Leeds (5 days on site) Are you looking for a senior finance role where you can genuinely shape a business during a period of major transformation and growth? This is an outstanding opportunity for an ambitious Finance Manager or Financial Controller to join a fast-expanding organisation in the UK primary care support and medical supplies sector . This business is on a significant growth journey, with plans to double turnover within 3-4 years , integration of a sister company underway, and a full ERP system implementation taking place across the entire operation. As part of strengthening the finance function, they are now seeking a high-calibre finance leader to join the senior team and act as a key strategic partner across the division. Why This Role Stands Out High-growth environment - 20-25% annual growth typical across the division, with ambitious scale-up plans. Transformational projects - including full systems migration, process redesign and integration of another business. Strategic influence - you'll operate as the number two in finance, working closely with senior leadership (CFO/Director). End-to-end ownership - from financial control to commercial partnering, reporting and planning. Visibility across the business - working directly with operational and commercial leaders. This is a rare chance to step into a role where you'll shape the future of the finance function while being hands-on with meaningful change. Key Responsibilities Full ownership of financial accounting, controls and statutory compliance Preparation and review of monthly management accounts with detailed insight and variance analysis Acting as a business partner to operational and commercial leaders, driving performance and decision-making Line management, coaching and development of two finance team members Leading the transition to a new ERP system, including process improvement, testing and business-wide engagement Supporting integration activities with the sister business and embedding consistent financial processes Skills & Experience Fully qualified accountant (ACA / ACCA / CIMA) Strong technical grounding in financial and management accounting Experience in a senior finance role such as Finance Manager / Financial Controller Proven ability to lead and develop a small team Confident communicator with strong stakeholder and business-partnering skills Why Apply? This role is ideal for someone looking to step into a senior finance position with real influence. You'll work closely with senior leadership, lead a capable team, shape processes, and play a pivotal role in a major transformation programme - all within a supportive, purpose-driven organisation. If you're looking for a role that combines strategic input, operational ownership and the opportunity to build something exceptional during a period of high growth, this is it.

Our client is seeking an experienced administrator to provide operational support in the running of a large residential block. The role is part-time and will be for 18 hours per week ideally spread over 3 days. Duties are as follows: Operational & Administrative Support Provide day-to-day administrative support to ensure efficient operations. Monitor and respond to multiple inboxes and handle any incoming phone calls. Liaise with the managing agents, House Manager, Building Surveyor, and Chairman. Maintain accurate records, databases, and filing systems (digital and physical). Prepare reports, correspondence, briefings, and meeting minutes as required. Coordinate meetings, events, and internal communications. Financial & Data Administration Pay and process invoices and refunds. Prepare weekly financial updates for the Chairman. Maintain and update financial and operational spreadsheets. Monitor arrears, trace payments where required, and liaise with relevant stakeholders for clarification. Project & Process Support Support ongoing projects including coordinating meetings, obtaining quotes, and liaising with contractors. Maintain records of lease extensions and liaise with solicitors where required. Identify opportunities to improve processes and contribute to continuous improvement initiatives. Assist with digitisation of records and development of standard operating procedures and templates. Skills & Experience Strong organisational and administrative skills with excellent attention to detail. Ability to manage multiple tasks and meet deadlines independently. Excellent written and verbal communication skills. Proficiency in Microsoft 365 (Word, Excel, Outlook, Teams, SharePoint). Personal Attributes Self-motivated and comfortable working independently. Adaptable and responsive to change in a developing environment. Forward-thinking with a willingness to learn and contribute ideas. Proactive problem-solver. Please send your cv of immediate consideration.

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 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, Sky Stream 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 ; Set a Product Vision & own the Product Backlog for Adobe Campaign & our owned comms stack, enabling the business to deliver on their requirements. Maintain a delivery roadmap of features, product releases, and integrations with the wider Sky technology & tooling ecosystem . Be the system admin for Adobe Campaign & the owned comms stack Govern the usage of Campaign Management within the business, defining the operating model and establishing appropriate controls and workflows for our tools. Enable business adoption & lead Ideation Workshops and User Story Creation, to drive product requirements and drive the effective usage of our tools in the business. Advise on Campaign best practice to ensure tooling is usilised effectively Join Quarterly Planning & support experimentation & development teams in sprint planning as required . Lead our campaign management vendor partnerships & ensure tooling remains best-in-class Ensure Technology Stack for campaign execution adheres to Compliance & Policy Requirement s Support Head of Martech at Sky UK in implementing martech strategy and specific initiatives What you'll bring ; Deep experience with Adobe Campaign, ideally with Adobe Campaign Certification. Demonstrated expertise in managing complex digital campaigns and platform migrations Deep Technical understanding of Adobe Campaign v7, and experience of AJO and Campaign v8 preferred. Experience with additional marketing technology capabilities preferred, as it will be beneficial in working with wider teams across the business. This could include web analytics, customer data management, consent management, personalisation, and digital marketing. 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 . 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.

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.

eDiscovery Lead for International Law firm Can be based in London or North West near Greater Manchecter (based on candidates location) Opportunity: An exceptional opportunity has arisen to join a leading international law firm with a top-tier Disputes practice. This is a chance to play a key role in shaping and developing a growing Technology & E-Discovery function, supporting complex, high-profile disputes and investigations. This position sits at the heart of the firm s strategic growth plans, combining innovative legal technology with expert legal services to deliver cutting-edge e-disclosure solutions. The Role As Technology & E-Discovery Manager, you will lead the delivery of end-to-end e-discovery services across a diverse range of matters. You will act as the central point of expertise, working closely with legal teams to implement tailored digital solutions and ensure best-in-class service delivery. You ll also play a pivotal role in building capability within the team, driving innovation, and enhancing the firm s use of technology-assisted review tools. Key Responsibilities Partner with Disputes teams to design and deliver tailored e-discovery strategies Act as the primary contact for document review and legal technology queries Oversee the full lifecycle of e-discovery projects, from data collection to production Build, mentor, and develop a junior team, providing ongoing training and support Deliver training sessions to both internal stakeholders and clients Stay ahead of industry trends and emerging technologies, sharing insights across the business Ensure compliance with legal and regulatory requirements relating to disclosure About You You ll be a highly experienced e-discovery professional with strong technical expertise and a collaborative approach. Key skills and experience include: Deep understanding of document review platforms and disclosure processes Hands-on experience with leading tools (e.g. Relativity, Nuix or similar) Strong knowledge of AI-driven review technologies such as TAR and CAL Proven experience managing teams and delivering training Solid understanding of the Electronic Discovery Reference Model (EDRM) Experience implementing quality control processes and mitigating risk in review workflows Ability to advise on strategic use of technology in complex matters Experience with scripting or automation is advantageous Strong client-facing experience within professional services or legal environments Why Apply? Opportunity to build and shape a growing function within a prestigious firm Exposure to complex, high-value disputes and investigations Work with cutting-edge legal technology and AI tools Collaborative, forward-thinking environment with strong career progression eDiscoveryJobsLiverpool, eDiscoveryjobsLeeds About Brimstone Consulting: We specialise in finding highly qualified staff in the following areas: E-Discovery and Digital Forensics; Payments; Fraud - (AML/CTF, Investigation, CFE s etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance ; IT - (full SDLC- BA s PM s , Architects, Developers etc.); Big Data and Data Analytics - (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance Brimstone Consulting acts as an employment agency (permanent) and as an employment business (temporary) - a free and confidential service to candidates. Brimstone Consulting is an equal opportunities employer. Due to time constraints we can only reply to applicants that match our clients specifications. Our Data Protection number: ZA(phone number removed)

CMA is delighted to be partnering with a highly successful, acquisitive group based in Southampton to recruit a Group Integration Finance Manager.This is a key appointment within a growing finance team and will suit an experienced, technically strong qualified accountant who enjoys working with multiple businesses, building relationships and supporting change.Working closely with the Finance Director, you will act as the main financial link between Group and its portfolio of newly acquired and existing subsidiaries. This is an excellent opportunity for a commercially aware finance professional who enjoys variety, stakeholder engagement and driving best practice across a group environment. What will the Group Integration Finance Manager role involve? Partner with the Finance Director, M&A team and external advisors across the deal lifecycle, providing financial input during due diligence, reviewing financial information and highlighting key risks and value drivers Lead the financial integration of newly acquired businesses into Group, including rapid onboarding to Group reporting, aligning accounting policies and embedding Group controls, processes and timetables Support the Group consolidation process, including intercompany reconciliations, acquisition accounting entries and the integration of new entities into the consolidation model Collaborate with Group FP&A and other finance teams to support performance tracking on acquisitions and provide insightful analysis to senior stakeholders Suitable candidate for Group Integration Finance Manager: Professionally qualified accountant (ACA, ACCA, CIMA or equivalent) Strong technical grounding with solid knowledge of IFRS / UK GAAP, consolidation and acquisition accounting Exposure to acquisitions, integrations or transaction-related activity, either in industry or practice (e.g. audit, transaction services or due diligence) Additional benefits and information for the role of Group Integration Finance Manager: Competitive salary in the region of £70,000 - £80,000 per annum, depending on experience Permanent role with genuine scope to influence how Group finance supports the ongoing acquisition strategy Exposure to senior leadership and the full M&A lifecycle, offering strong long-term career development CMA Recruitment Group is acting as a recruitment agency in relation to this role. CMA complies with all relevant UK legislation and doesn't discriminate on any protected characteristics. By completing the application process, you agree to the terms outlined in our Privacy Notice and that CMA may contact you in connection with your application in relation to CMA providing you with work finding services. Our Privacy Notice can be viewed under the privacy tab on our website. CMA is currently receiving a high volume of applications. Whilst we ensure all applications are considered, regrettably, it may not be possible to respond individually to all applications received.

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 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.

Join Lifeways - Make a Real Difference Every Day Are you an experienced Support Worker looking to take the next step in your career? Lifeways is seeking a dedicated and motivated Care Team Leader to support our Service Manager in overseeing our well-established Supported Living Services in North Yorkshire. This is a fantastic opportunity to grow within a supportive organisation that values your development and offers genuine career progression. What We Offer: Part Time / Full Time Over £2,000 in annual rewards and benefits Funded Health and Social Care qualifications Free DBS check Cycle to Work Scheme (up to £1,000) Gym discounts (save up to £192 per year) Eye care and health cash plans 10% discount at B&Q for all team members Access to the Blue Light Card £200 for successful employee referrals 3% employer pension contribution 8 paid training days per year Access to apprenticeships and further qualifications Who We're Looking For: Experienced Care Team Leaders or Senior Support Workers with an NVQ/QCF in Health and Social Care (or equivalent) Ambitious Support Workers or Care Assistants with a strong track record and a desire to progress - we'll support your growth with training and development Your Role: Lead and motivate a team of Support Workers Deliver high-quality, person-centred care Support recruitment and staff development Communicate effectively with colleagues, service users, and external professionals Maintain accurate records using digital systems About Our Services: Our Supported Living services in Leeds provide life-changing support for adults with: Learning disabilities Autism Physical disabilities Mental Health conditions We empower individuals to live fulfilling, independent lives in a safe and supportive environment. Our Commitment to Inclusion: At Lifeways, we believe in equal access to opportunities and strive to create a workplace where everyone feels valued and respected. Our inclusive culture is guided by our core values: Caring, Honest, One Team, Innovative, Courageous, and Equal (CHOICE). Apply Today: Join Lifeways and be part of a team that truly makes a difference. Take the next step in your care career. All applicants will be required to complete a DBS that is paid for by the company. PLEASE NOTE THAT WE DO NOT OFFER SPONSORSHIP

Job Title Audit Senior Location London Salary £51,000 - £54,000 I'm currently working with a well-established and highly respected accountancy practice looking to appoint an Audit Senior to join their growing Private Client Business team in London. This role offers exposure to a diverse and interesting client base, providing audit, accounting and advisory services to entrepreneurial businesses, owner-managed companies and larger international groups. It's an excellent opportunity for a part-qualified or newly qualified accountant looking to take on more responsibility and play an active role in managing audit engagements. What you will be doing as an Audit Senior: As an Audit Senior, you will play a key role in delivering high-quality audit and accounting services while supporting the development of junior team members and building strong client relationships. Project managing audit and accounting assignments, liaising directly with senior individuals within client finance teams Taking ownership of audit engagements from planning through to fieldwork and completion , working closely with Managers and Partners Identifying, researching and resolving complex audit issues Supporting the wider team with the delivery of high-quality client service across a varied portfolio Assisting with the management of a small portfolio of clients , helping to develop your client management skills Supporting accounts preparation engagements where required Coaching and mentoring junior staff, helping them develop their technical and professional skills Contributing to the ongoing development and success of the team You will work with a wide range of clients including entrepreneurial owner-managed businesses, private client structures and international groups . The client base spans a variety of sectors including: Landed estates Retail and hospitality Financial services Sports and entertainment What you will need to succeed as an Audit Senior: Experience working within an audit and accounts practice environment ACA or ACCA part-qualified, fully qualified, or equivalent, with strong exam progress Strong knowledge of UK accounting and auditing standards Experience supervising, mentoring or supporting junior staff on assignments Highly organised with the ability to manage multiple priorities and deadlines Commercially aware with a proactive and professional approach to client service Strong communication skills and the confidence to build relationships with clients and senior stakeholders Why join this firm? 35-hour working week Hybrid working with the flexibility to work from home up to three days per week Paid overtime or time off in lieu Competitive benefits package including contributory pension, life assurance and flexible benefits 25 days annual leave plus additional benefits and family-friendly policies Eligibility for the firm's profit-sharing scheme What next? The client is keen to start interviewing NOW! So, if you are interested, please apply asap! As an employer, we are committed to ensuring the representation of people from all backgrounds regardless of their gender identity or expression, sexual orientation, race, religion, ethnicity, age, neurodiversity, disability status, or any other aspect which makes them unique. We welcome applicants from all backgrounds to apply and would encourage you to let us know if there are steps, we can take to ensure that your recruitment process enables you to present yourself in a way that makes you comfortable.

Production Planner Our client is a leading manufacturing company based in Kings Lynn; due to their continued growth and development they are seeking to employ a Production Planner/Assistant to join their friendly and professional team. Permanent role. Hours will be Monday Thursday 8am 5pm and Friday 8am 4pm. Competitive salary offered. Reporting to the Commercial Manager Overall Responsibilities To have regular effective communication with the customer. To maintain and update the business system accordingly in line with business requirements. To support the Commercial Manager as required. Excellent organisational skills required. You have the responsibility to ensure all areas and workspaces are kept clean, tidy, and organised to ensure a safe and clean working environment. To comply to the companies Health & Safety Policies. To comply to the companies Quality Management System. Responsibilities & duties To assist the Production Planners when instructed. Producing Job Packs in line with the Production Planner s requirements. Checking materials and parts are available for production. Keep filing systems organised and scanning of documents current and up to date. Working to the current processes. Answer telephone calls in a timely manner and direct to the correct member of staff. Communicate effectively when required with customers, suppliers and BSA personnel. Experience preferred in using a manufacturing system. (Training will be given) Maintain production records as and when required. Raise purchase orders for consumables and packaging. General administrative duties as required. To carry out any other reasonable task as requested by the management. The ideal candidate must have excellent communication skills both verbally and written.

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.