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.
Mar 03, 2026
Full time
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.
Ed Jones returns to Nissan GB as new Sales Director in June 2025 Ed Jones appointed as Nissan GB's new Sales Director, starting 16th June 2025, after seven years at Audi UK Ed Jones appointed as Nissan GB's new Sales Director, starting 16th June 2025, after seven years at Audi UK. Jones returns to Nissan at a time of strong growth and innovation, focusing on electric and electrified vehicle launches. He replaces Michael Auliar, who is leaving at the end of March for a new opportunity. Nissan appoints Ed Jones as Sales Director ahead of key product launches Mayra González, Divisional Vice President Marketing and Sales Europe said: "I'm delighted to welcome Ed to our team - his experience and expertise in all areas of UK sales will be invaluable as we look to capitalise on some exciting new product launches. Ed will help accelerate our business transformation plans, and lead our sales and dealer teams to continued success in the future. We thank Michael for his significant contribution to Nissan in markets including UK, Nordics and regional HQ and wish him well for his future endeavours." During his time with Audi, Jones held key roles, including National Contract Hire and Leasing Manager, and most recently, overseeing UK Sales Operations. He previously worked at Nissan GB in various sales and marketing positions, where he quickly moved up the ranks. His return to Nissan comes at a pivotal moment as the company prepares for significant product launches in 2025. Jones is excited to rejoin Nissan, especially with the momentum the brand has built. In 2024, Nissan had two models in the top five best-sellers. The brand also saw increased market share and double digit sales growth. Looking ahead, Jones is particularly focused on Nissan's expanding line up of electric and electrified vehicles, including the new British built LEAF, alongside popular models like the Qashqai and Juke.
Mar 03, 2026
Full time
Ed Jones returns to Nissan GB as new Sales Director in June 2025 Ed Jones appointed as Nissan GB's new Sales Director, starting 16th June 2025, after seven years at Audi UK Ed Jones appointed as Nissan GB's new Sales Director, starting 16th June 2025, after seven years at Audi UK. Jones returns to Nissan at a time of strong growth and innovation, focusing on electric and electrified vehicle launches. He replaces Michael Auliar, who is leaving at the end of March for a new opportunity. Nissan appoints Ed Jones as Sales Director ahead of key product launches Mayra González, Divisional Vice President Marketing and Sales Europe said: "I'm delighted to welcome Ed to our team - his experience and expertise in all areas of UK sales will be invaluable as we look to capitalise on some exciting new product launches. Ed will help accelerate our business transformation plans, and lead our sales and dealer teams to continued success in the future. We thank Michael for his significant contribution to Nissan in markets including UK, Nordics and regional HQ and wish him well for his future endeavours." During his time with Audi, Jones held key roles, including National Contract Hire and Leasing Manager, and most recently, overseeing UK Sales Operations. He previously worked at Nissan GB in various sales and marketing positions, where he quickly moved up the ranks. His return to Nissan comes at a pivotal moment as the company prepares for significant product launches in 2025. Jones is excited to rejoin Nissan, especially with the momentum the brand has built. In 2024, Nissan had two models in the top five best-sellers. The brand also saw increased market share and double digit sales growth. Looking ahead, Jones is particularly focused on Nissan's expanding line up of electric and electrified vehicles, including the new British built LEAF, alongside popular models like the Qashqai and Juke.
Workshop Fleet Supervisor This is a role for a senior Technician currently who is looking to take their career to the next level. You will be responsible for the productivity and overall efficiencies of a busy workshop. Your remit will be to oversee the day to day activity and you will be ensuring that Jobs are allocated via a card system to the Vehicle Engineers. You will also be working on the companies outstanding fleet of high spec bespoke vehicles, so current mechanical experience is still very much required for the role. It is anticipated that your day to day duties will be 60/40 on the spanners. Making sure that the work has been carried to the correct specifications and within the time frames Liaising with the Parts Department to ensure the correct equipment is being used to carry out the repairs This role would suit someone who has had experience of working in a similar role within a HGV or Council Fleet workshop environment and has good commercial vehicle knowledge from a technical perspective. What are critical are that you have very good people skills. You will be liaising with internal and external Stakeholders, sometime in a high pressured environment, so a cool head is required at all times, The type of vehicles worked on range from heavy goods vehicles (HGV s), road tankers, MOD, GSE, gritters, RCV s Refuge vehicles and road sweepers. The Fitters under your guidance are highly skilled. They will be looking after a mix of Diesel, hybrid and fully electric vehicles, it is therefore important that you are up to date with modern vehicle technologies Your workshop will be responsible for; Routine (and preventative) maintenance MOT preparation Scheduled servicing to DVSA standards 6 (or 8) weekly inspections Correction of running defects Chassis and fabrication work Hydraulics and pneumatics Improvement of vehicle standards Electrical and wiring inspections and corrections Ideally you will be fully qualified (City & Guilds), NVQ or equivalent What is also important is that you are used to vehicle transaction systems and have solid IT skills. Kautec Recruitment recruit for a variety of sectors and are actively seeking to recruit HGV Technicians, HGV Fitters, Mechanics, Mobile Technicians, PSV Technicians, Engineers for our Fleet Management Clients across the UK. If you are actively looking for a new job, but are not a Technician by trade, we are still eager to hear from you and we ll assist you in finding the next step in your career. Workshop, Depot, Site, Supervisor, Chargehand, Controller, Manager, HGV, heavy goods vehicle, commercial vehicle, RCV, refuse collection vehicle, tipper, sweeper, gritter, mechanic, vehicle engineer, vehicle technician, fitter.
Mar 03, 2026
Full time
Workshop Fleet Supervisor This is a role for a senior Technician currently who is looking to take their career to the next level. You will be responsible for the productivity and overall efficiencies of a busy workshop. Your remit will be to oversee the day to day activity and you will be ensuring that Jobs are allocated via a card system to the Vehicle Engineers. You will also be working on the companies outstanding fleet of high spec bespoke vehicles, so current mechanical experience is still very much required for the role. It is anticipated that your day to day duties will be 60/40 on the spanners. Making sure that the work has been carried to the correct specifications and within the time frames Liaising with the Parts Department to ensure the correct equipment is being used to carry out the repairs This role would suit someone who has had experience of working in a similar role within a HGV or Council Fleet workshop environment and has good commercial vehicle knowledge from a technical perspective. What are critical are that you have very good people skills. You will be liaising with internal and external Stakeholders, sometime in a high pressured environment, so a cool head is required at all times, The type of vehicles worked on range from heavy goods vehicles (HGV s), road tankers, MOD, GSE, gritters, RCV s Refuge vehicles and road sweepers. The Fitters under your guidance are highly skilled. They will be looking after a mix of Diesel, hybrid and fully electric vehicles, it is therefore important that you are up to date with modern vehicle technologies Your workshop will be responsible for; Routine (and preventative) maintenance MOT preparation Scheduled servicing to DVSA standards 6 (or 8) weekly inspections Correction of running defects Chassis and fabrication work Hydraulics and pneumatics Improvement of vehicle standards Electrical and wiring inspections and corrections Ideally you will be fully qualified (City & Guilds), NVQ or equivalent What is also important is that you are used to vehicle transaction systems and have solid IT skills. Kautec Recruitment recruit for a variety of sectors and are actively seeking to recruit HGV Technicians, HGV Fitters, Mechanics, Mobile Technicians, PSV Technicians, Engineers for our Fleet Management Clients across the UK. If you are actively looking for a new job, but are not a Technician by trade, we are still eager to hear from you and we ll assist you in finding the next step in your career. Workshop, Depot, Site, Supervisor, Chargehand, Controller, Manager, HGV, heavy goods vehicle, commercial vehicle, RCV, refuse collection vehicle, tipper, sweeper, gritter, mechanic, vehicle engineer, vehicle technician, fitter.
Technical Manager - BMS Systems London (Covering southern region) Perm Competitive salary + Car/Car/Travel Allowance + Flexible Benefits Summary We have an exciting new opportunity for a Technical Manager, with in depth experience of building management systems, to join our team. This role will ideally be based in London office, but will cover the southern region so travel will be required. In this role you will lead, own and manage the technical risk and opportunities within the business, from inception through to project completion, and client handover, focussing on design optimisation, opportunity identification, and mitigation of technical risk. You will ensure technical compliance with works information, scope, project specification and legislation, undertaking technical management of both internal and external designs. This is a permanent staff position with NG Bailey. Some of the key deliverables in this role will include: Demonstrate appropriate health and safety leadership to ensure the safety first and foremost message is visible and alive throughout all activities. Lead the technical engineering management on internally and externally designed projects to successful completion, ensuring best value design, management of opportunities and risk mitigation. Provide technical advice and assistance to other areas of the business, and support business development from a technical perspective. Assist the Regional Design & Engineering Manager in the production of technical management fees for projects. Ensure the accuracy and integrity of technical management costs, values, and programme forecasts, seeking opportunities to suggest actions which mitigate risk and maximise profitability. Support the Principal Technical manager in the identification, delivery and attendance of CPDs, ensuring that the development of design/technical team's competence is maintained. Provide technical advice and assistance to other areas for the business Prepare monthly project reports for senior stakeholders, highlighting progress, risks, opportunities, and resource issues. Advise on commercial progress against plan, any variances from plan, and the corrective actions being taken. On external designs, take ownership of the completion of the responsibilities matrix, ensuring scope gaps are mitigated. Build and maintain mutually beneficial customer, key supplier and internal relationships. Promote the design team and actively seek out new opportunities Communicate proactively with project stakeholders to improve our collaboration with operational teams. Conduct regular independent design/technical reviews, ensuring designs are technically correct and represent best value, and comply with all legal and contractual requirements. Apply current legislation regarding building regulations, standards, CDM, quality control, commissioning, safety & environmental issues. What we're looking for : Extensive experience of building management systems Operational experience on project installation Good understanding of design and build, and traditional construction contracts Significant experience of commercial management on design projects Strong communication skills Qualifications or professional memberships (desirable) I.Eng, MCIBSE, MIET, B.Eng (Hons) or equivalent Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: Car/Car allowance Salary sacrifice car scheme (Hybrid/Electric Vehicle) Pension with a leading provider and up to 8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to suit from Dental Insurance, Gym Memberships, Give As You Earn, Travel Insurance, Tax Free Bikes. Personal development programme Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
Mar 03, 2026
Full time
Technical Manager - BMS Systems London (Covering southern region) Perm Competitive salary + Car/Car/Travel Allowance + Flexible Benefits Summary We have an exciting new opportunity for a Technical Manager, with in depth experience of building management systems, to join our team. This role will ideally be based in London office, but will cover the southern region so travel will be required. In this role you will lead, own and manage the technical risk and opportunities within the business, from inception through to project completion, and client handover, focussing on design optimisation, opportunity identification, and mitigation of technical risk. You will ensure technical compliance with works information, scope, project specification and legislation, undertaking technical management of both internal and external designs. This is a permanent staff position with NG Bailey. Some of the key deliverables in this role will include: Demonstrate appropriate health and safety leadership to ensure the safety first and foremost message is visible and alive throughout all activities. Lead the technical engineering management on internally and externally designed projects to successful completion, ensuring best value design, management of opportunities and risk mitigation. Provide technical advice and assistance to other areas of the business, and support business development from a technical perspective. Assist the Regional Design & Engineering Manager in the production of technical management fees for projects. Ensure the accuracy and integrity of technical management costs, values, and programme forecasts, seeking opportunities to suggest actions which mitigate risk and maximise profitability. Support the Principal Technical manager in the identification, delivery and attendance of CPDs, ensuring that the development of design/technical team's competence is maintained. Provide technical advice and assistance to other areas for the business Prepare monthly project reports for senior stakeholders, highlighting progress, risks, opportunities, and resource issues. Advise on commercial progress against plan, any variances from plan, and the corrective actions being taken. On external designs, take ownership of the completion of the responsibilities matrix, ensuring scope gaps are mitigated. Build and maintain mutually beneficial customer, key supplier and internal relationships. Promote the design team and actively seek out new opportunities Communicate proactively with project stakeholders to improve our collaboration with operational teams. Conduct regular independent design/technical reviews, ensuring designs are technically correct and represent best value, and comply with all legal and contractual requirements. Apply current legislation regarding building regulations, standards, CDM, quality control, commissioning, safety & environmental issues. What we're looking for : Extensive experience of building management systems Operational experience on project installation Good understanding of design and build, and traditional construction contracts Significant experience of commercial management on design projects Strong communication skills Qualifications or professional memberships (desirable) I.Eng, MCIBSE, MIET, B.Eng (Hons) or equivalent Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: Car/Car allowance Salary sacrifice car scheme (Hybrid/Electric Vehicle) Pension with a leading provider and up to 8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to suit from Dental Insurance, Gym Memberships, Give As You Earn, Travel Insurance, Tax Free Bikes. Personal development programme Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
Head of Data Science Salary: £115K - £125K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practices Credibility to lead long tenured individual contributors, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Mar 03, 2026
Full time
Head of Data Science Salary: £115K - £125K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practices Credibility to lead long tenured individual contributors, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Hey - Let's find your next opportunity At Nova Sky Stories, we empower artists and producers to bring awe and wonder to live audiences around the world. As the global leader in drone entertainment, we've been redefining live shows for over a decade-merging cutting edge drone technology with imaginative artistry. With a veteran team of engineers and creatives, we design and operate lightweight, small, precise, and safe drones that perform in the most demanding environments-urban centers, extreme temperatures, and high winds. The result? Sky Stories that inspire, captivate, and transform the sky into a canvas of imagination. Headquartered in the U.S. with teams across Europe and the UAE, Nova Sky Stories works with the world's leading brands, venues, and events. Follow us: About the job We are seeking a skilled Person Manipulating the Controls (PMTC) to operate our large scale drone light show systems under the authority of a designated Pilot in Command (PIC). The PMTC is the hands on flight operator responsible for executing launches, monitoring the drone fleet in real time, and responding to aircraft and system behavior throughout the show. While the PIC retains full legal and safety authority, the PMTC plays a critical role in live execution and operational performance. This role sits at the intersection of aviation, robotics, and live entertainment, supporting synchronized fleets of hundreds to thousands of aircraft at some of the world's most high profile events. As a PMTC, you will be responsible for: Serve as a pilot responsible for flying shows and ensuring compliance with all relevant regulations, guidelines, and best practices. Prioritize the safety of spectators, crew members, and surrounding airspace. Operate Nova's drone fleet during live shows as the Person Manipulating the Controls. Execute launches, holds, aborts, and recoveries under the direction of the PIC. Monitor aircraft health, telemetry, GNSS, and communications during flight. Operate Nova's ground control systems, networking, and flight software. Load, verify, and execute flight plans and show content. Respond in real time to system alerts, aircraft faults, or degraded conditions. Help lead load in and load out of the entire airfield and pilot system setup. Conduct pre flight checks on drones, batteries, ground infrastructure, and control systems. Assist with post flight inspections, logging, and maintenance reporting. Coordinate closely with ground crew, technical staff, and event organizers to communicate flight plans, timing cues, and any other operational considerations prior, during, and after shows. Supply continuous feedback and evaluation of performance metrics to identify areas of improvement and optimization. Fly large scale drone light shows: drones using our system. Assist with drone repairs. Required Qualifications Proficient in interpreting several incoming streams of data and managing time critical activities. Able to stay focused and decisive during high pressure live operations. Basic understanding of engineering/electronics/software engineering to perform basic maintenance and troubleshooting on drones. Excellent English communication skills, both written and verbal. Proactive communication is highly valued. It's a plus if you have: Experience flying large fleets or synchronized UAS systems. Background in aviation, robotics, or live technical production. Familiarity with regulatory frameworks (FAA, EASA, GCAA, etc.). Experience working in touring or event based operations. Willing to travel up to several weekends per month, to various states/countries, and remain there for 2 3 nights and support a show. Opportunities may exist for extended periods, in the case of drone residencies. Willing to lift loads up to 20kg/44lb, work outdoors, and set up equipment. What Defines You Highly reliable, organized, and execution focused. Calm under pressure and effective in an onsite operating environment. A clear, proactive communicator who escalates issues early and appropriately. Team oriented, humble, and eager to learn. Motivated by operational excellence, consistency, and continuous improvement. Interested in growing into increased production ownership over time. If you're ready to play a key role in supporting the operational backbone of a company redefining storytelling in the sky, we'd love to hear from you. Apply now to help keep Nova Sky Stories flying high. Nova Sky Stories - Boulder, Colorado, United States - 2 months ago Manager, Business Development Nova is seeking a highly versatile Manager, Business Development to help lead our global growth. As a small, nimble team, we are looking for someone who thrives in ambiguity and can operate across strategic sales, geographic expansion, and financial and strategic analysis to support major company decisions. This role sits at the center of Nova's growth efforts. You'll be part of a small internal "swat team," constantly identifying, prioritizing, and executing on the most critical opportunities to scale the business globally. As a Manager, Business Development, you will be responsible for: Lead strategic sales efforts and form high impact partnerships. Manage and coordinate cross functional growth initiatives. Support global expansion, including entering new countries, managing projects, and supporting local hiring efforts. Conduct financial and strategic analysis to inform major growth and investment decisions. Take ownership of ambiguous, high impact projects and drive them from concept through execution. Travel to key events to assess competitive dynamics and engage with influential stakeholders. If you're the right fit for this role, you probably already get it: this is a high growth, "do whatever it takes to help the company win" position with significant responsibility and exposure. You'll need to have: Experience in business development, sales, and/or finance at a high growth company. Strong analytical and problem solving skills, with the ability to turn insights into action. Comfort operating in a fast paced, resource constrained environment. Ability to travel up to 50% of the time. It's a plus if you have: MBA or advanced business degree. Experience in a capital expenditure based technology business (as opposed to purely software or services). Experience in the entertainment industry. 3D Cinema 4D Expert / Drone Show Designer Nova Sky Stories Utrecht team is a passionate group of people with a hands on approach collaborating closely to keep improving and bring awe to live audiences. As part of Nova Sky Stories we work together with other Nova designers and colleagues around the world, sharing creativity, technical knowledge and the passion for storytelling. We are seeking a talented and imaginative Drone Sky Show Designer to contribute their expertise in designing and orchestrating captivating drone light shows. As an integral member of our team, you'll collaborate with skilled professionals to bring imaginative concepts to life through drone displays that astonish and inspire audiences. Your creative flair, combined with your experience in 3D design, will shape unforgettable experiences for our audiences. As a Drone Sky Show Designer, you will be responsible for: Ideate and conceptualize innovative 3D graphics, animations, and visual narratives. Collaborate with cross functional teams to generate concept sketches, designs, and prototypes. Develop expressive 3D animations that convey a wide range of emotions. Work on the creation of drone shows, from the initial concept to designing and animating show elements and scenes. Demonstrate ownership of your work and actively contribute creative ideas to enhance our offerings and processes. Collaborate with our creative team to expand animation capacity by recruiting and managing external resources. You'll need to have: 3+ years of experience in 3D asset creation using Maxon Cinema 4D. Proficiency in Adobe Photoshop, Illustrator, After Effects and other digital art production tools. Ability to craft low poly assets and experience working with MoGraph tools. How to be successful in this role: Enthusiastic about the creative potential of drone technology. Effective communication skills to articulate ideas and collaborate within teams. Strong interpersonal skills with a team oriented approach. Capacity to manage priorities, multitask, and meet deadlines in a dynamic environment. Having an efficient and structured workflow. Strong drive to experiment and innovate. Quick learner with agility in adapting design approaches. Results oriented, "can do" attitude with a focus on creative solutions. Ability to provide and receive constructive, creative feedback across teams. Willingness to collaborate closely with team members, clients, and external partners. Venue Planning Coordinator As a Venue Planning Coordinator you will support drone show planning by evaluating potential venues, conducting preliminary technical assessments, and developing initial site and flight maps. You will serve as a critical link between Sales and Operations . click apply for full job details
Mar 03, 2026
Full time
Hey - Let's find your next opportunity At Nova Sky Stories, we empower artists and producers to bring awe and wonder to live audiences around the world. As the global leader in drone entertainment, we've been redefining live shows for over a decade-merging cutting edge drone technology with imaginative artistry. With a veteran team of engineers and creatives, we design and operate lightweight, small, precise, and safe drones that perform in the most demanding environments-urban centers, extreme temperatures, and high winds. The result? Sky Stories that inspire, captivate, and transform the sky into a canvas of imagination. Headquartered in the U.S. with teams across Europe and the UAE, Nova Sky Stories works with the world's leading brands, venues, and events. Follow us: About the job We are seeking a skilled Person Manipulating the Controls (PMTC) to operate our large scale drone light show systems under the authority of a designated Pilot in Command (PIC). The PMTC is the hands on flight operator responsible for executing launches, monitoring the drone fleet in real time, and responding to aircraft and system behavior throughout the show. While the PIC retains full legal and safety authority, the PMTC plays a critical role in live execution and operational performance. This role sits at the intersection of aviation, robotics, and live entertainment, supporting synchronized fleets of hundreds to thousands of aircraft at some of the world's most high profile events. As a PMTC, you will be responsible for: Serve as a pilot responsible for flying shows and ensuring compliance with all relevant regulations, guidelines, and best practices. Prioritize the safety of spectators, crew members, and surrounding airspace. Operate Nova's drone fleet during live shows as the Person Manipulating the Controls. Execute launches, holds, aborts, and recoveries under the direction of the PIC. Monitor aircraft health, telemetry, GNSS, and communications during flight. Operate Nova's ground control systems, networking, and flight software. Load, verify, and execute flight plans and show content. Respond in real time to system alerts, aircraft faults, or degraded conditions. Help lead load in and load out of the entire airfield and pilot system setup. Conduct pre flight checks on drones, batteries, ground infrastructure, and control systems. Assist with post flight inspections, logging, and maintenance reporting. Coordinate closely with ground crew, technical staff, and event organizers to communicate flight plans, timing cues, and any other operational considerations prior, during, and after shows. Supply continuous feedback and evaluation of performance metrics to identify areas of improvement and optimization. Fly large scale drone light shows: drones using our system. Assist with drone repairs. Required Qualifications Proficient in interpreting several incoming streams of data and managing time critical activities. Able to stay focused and decisive during high pressure live operations. Basic understanding of engineering/electronics/software engineering to perform basic maintenance and troubleshooting on drones. Excellent English communication skills, both written and verbal. Proactive communication is highly valued. It's a plus if you have: Experience flying large fleets or synchronized UAS systems. Background in aviation, robotics, or live technical production. Familiarity with regulatory frameworks (FAA, EASA, GCAA, etc.). Experience working in touring or event based operations. Willing to travel up to several weekends per month, to various states/countries, and remain there for 2 3 nights and support a show. Opportunities may exist for extended periods, in the case of drone residencies. Willing to lift loads up to 20kg/44lb, work outdoors, and set up equipment. What Defines You Highly reliable, organized, and execution focused. Calm under pressure and effective in an onsite operating environment. A clear, proactive communicator who escalates issues early and appropriately. Team oriented, humble, and eager to learn. Motivated by operational excellence, consistency, and continuous improvement. Interested in growing into increased production ownership over time. If you're ready to play a key role in supporting the operational backbone of a company redefining storytelling in the sky, we'd love to hear from you. Apply now to help keep Nova Sky Stories flying high. Nova Sky Stories - Boulder, Colorado, United States - 2 months ago Manager, Business Development Nova is seeking a highly versatile Manager, Business Development to help lead our global growth. As a small, nimble team, we are looking for someone who thrives in ambiguity and can operate across strategic sales, geographic expansion, and financial and strategic analysis to support major company decisions. This role sits at the center of Nova's growth efforts. You'll be part of a small internal "swat team," constantly identifying, prioritizing, and executing on the most critical opportunities to scale the business globally. As a Manager, Business Development, you will be responsible for: Lead strategic sales efforts and form high impact partnerships. Manage and coordinate cross functional growth initiatives. Support global expansion, including entering new countries, managing projects, and supporting local hiring efforts. Conduct financial and strategic analysis to inform major growth and investment decisions. Take ownership of ambiguous, high impact projects and drive them from concept through execution. Travel to key events to assess competitive dynamics and engage with influential stakeholders. If you're the right fit for this role, you probably already get it: this is a high growth, "do whatever it takes to help the company win" position with significant responsibility and exposure. You'll need to have: Experience in business development, sales, and/or finance at a high growth company. Strong analytical and problem solving skills, with the ability to turn insights into action. Comfort operating in a fast paced, resource constrained environment. Ability to travel up to 50% of the time. It's a plus if you have: MBA or advanced business degree. Experience in a capital expenditure based technology business (as opposed to purely software or services). Experience in the entertainment industry. 3D Cinema 4D Expert / Drone Show Designer Nova Sky Stories Utrecht team is a passionate group of people with a hands on approach collaborating closely to keep improving and bring awe to live audiences. As part of Nova Sky Stories we work together with other Nova designers and colleagues around the world, sharing creativity, technical knowledge and the passion for storytelling. We are seeking a talented and imaginative Drone Sky Show Designer to contribute their expertise in designing and orchestrating captivating drone light shows. As an integral member of our team, you'll collaborate with skilled professionals to bring imaginative concepts to life through drone displays that astonish and inspire audiences. Your creative flair, combined with your experience in 3D design, will shape unforgettable experiences for our audiences. As a Drone Sky Show Designer, you will be responsible for: Ideate and conceptualize innovative 3D graphics, animations, and visual narratives. Collaborate with cross functional teams to generate concept sketches, designs, and prototypes. Develop expressive 3D animations that convey a wide range of emotions. Work on the creation of drone shows, from the initial concept to designing and animating show elements and scenes. Demonstrate ownership of your work and actively contribute creative ideas to enhance our offerings and processes. Collaborate with our creative team to expand animation capacity by recruiting and managing external resources. You'll need to have: 3+ years of experience in 3D asset creation using Maxon Cinema 4D. Proficiency in Adobe Photoshop, Illustrator, After Effects and other digital art production tools. Ability to craft low poly assets and experience working with MoGraph tools. How to be successful in this role: Enthusiastic about the creative potential of drone technology. Effective communication skills to articulate ideas and collaborate within teams. Strong interpersonal skills with a team oriented approach. Capacity to manage priorities, multitask, and meet deadlines in a dynamic environment. Having an efficient and structured workflow. Strong drive to experiment and innovate. Quick learner with agility in adapting design approaches. Results oriented, "can do" attitude with a focus on creative solutions. Ability to provide and receive constructive, creative feedback across teams. Willingness to collaborate closely with team members, clients, and external partners. Venue Planning Coordinator As a Venue Planning Coordinator you will support drone show planning by evaluating potential venues, conducting preliminary technical assessments, and developing initial site and flight maps. You will serve as a critical link between Sales and Operations . 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. 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.
Mar 03, 2026
Full time
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.
Mar 03, 2026
Full time
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.
Mar 03, 2026
Full time
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.
DUTIES AND KEY RESPONSIBILITIES Strategic communications Lead the development, implementation, and management of MAP s strategic communications and support public engagement initiatives. Oversee the organisation s language and messaging frameworks, including the maintenance of the language guide and key messaging documents to ensure clarity, consistency, and alignment with MAP s mission and communications objectives. Develop, implement and manage integrated, cross channel communications plans and strategies. Bring a prospector s mindset, spotting openings, anticipating debate moments and positioning MAP ahead of the curve rather than reacting to events. Support the organisation in contributing to crisis communications planning and responding to mitigate reputational risks. Media management Lead on the development and delivery of high-impact content to raise MAP s profile and influence, and to drive public and supporter engagement. Actively seek out and develop opportunities for MAP to shape public, political and sector debates, including through opinion pieces, broadcast opportunities, podcasts, industry and specialist media, conferences and high-level events. Manage MAP s Senior Media and Communications Officer, fostering professional growth, confidence and judgement. Conduct regular one to ones, appraisals, and support their work. Manage the production, review and sign off of all media materials including press releases, op-eds, letters to the editor, media updates, and other external communications content where necessary. Ensure efficient delegation where required. Lead media engagement, including briefing spokespeople and coordinating MAP s responses to media inquiries, ensuring delegation where required. Provide high-quality briefing, messaging development, and media preparation for senior staff engaging externally. Maintain and build strong, trusted relationships with journalists and editors across UK and international media. Alert MAP s staff to imminent news and current affairs stories, and recommend communications actions or restraint as appropriate. Advocacy and campaigns communications Develop strategic communications plans for MAP s advocacy and campaigning initiatives (such as, party conferences, parliamentary and UN engagement), identifying media opportunities, and ensuring key messaging is aligned with advocacy objectives and reaches targeted audiences. Work closely with MAP s Advocacy and Campaigns Team to amplify campaign impact through coordinated media and supporter-facing communications. Strengthen MAP s role in advocacy coalitions by leading collaborative media and communications outputs with partners. Help ensure that communities MAP supports have a voice in campaigns, that their perspectives shape messaging and that communications do not expose staff, partners or communities to undue risk. Advise on the strategic communication opportunities to profile and disseminate policy and research outputs. General responsibilities Support the mission, ethos and values of MAP. Support advocacy and research functions as required. Manage external suppliers providing design, printing and other support as required. Represent MAP at external meetings including with media, partners and supporters, and deliver talks when required. Carry out fact-checking, proof-reading/copy editing and other administrative tasks as needed. Carry out other associated duties as may arise in line with the broad remit of the position. Support and promote diversity and equality of opportunity in the workplace. Work collaboratively with others in all aspects of our work. PERSON SPECIFICATION Experience and knowledge Substantial, relevant and recent experience of communications at a national and/or international level within humanitarian, healthcare or human rights organisations. Strong track record of developing and implementing communications strategies to achieve advocacy and fundraising objectives. Experience in overseeing organisational language and messaging frameworks in politically sensitive contexts. Strong experience in media relations, including briefing spokespeople, drafting press releases, reactive and proactive media handling, and securing media coverage. Understanding of digital communications and campaign tools (e.g., petitions, email campaigns) and audience engagement strategies. Experience working with fundraising/marketing teams, consultants and agencies. Strong understanding of political risk, reputational management and crisis communications. Knowledge and understanding of the political context and of development and humanitarian issues in Palestine and Lebanon and the wider Middle East is desirable. Skills and abilities Strong communicator (written and oral) and persuasive storyteller. In depth understanding of how media can be a tool for influence and to achieve change. Confident interpersonal, influencing and relationship management skills, and an ability to pitch stories persuasively to media and other targets. Creativity and a willingness to innovate. Fluent written and spoken English. Ability to prioritise and ability to deal with competing demands in a fast-paced working environment. Ability to work collaboratively and independently, with sound judgement and discretion. Keen attention to detail, copy/proof editing and quality control on all outputs. Working knowledge of Arabic is an advantage. Personal attributes and other requirements Commitment to human rights, international justice, and promoting Palestinian participation in communications and campaigns. Able to travel extensively within London and the UK and willingness to travel to Lebanon and the occupied Palestinian territory occasionally as required. Able to work occasionally on evenings and weekends, with time off in lieu. Commitment to advancing anti-racism, anti-discrimination and equal opportunities.
Mar 03, 2026
Full time
DUTIES AND KEY RESPONSIBILITIES Strategic communications Lead the development, implementation, and management of MAP s strategic communications and support public engagement initiatives. Oversee the organisation s language and messaging frameworks, including the maintenance of the language guide and key messaging documents to ensure clarity, consistency, and alignment with MAP s mission and communications objectives. Develop, implement and manage integrated, cross channel communications plans and strategies. Bring a prospector s mindset, spotting openings, anticipating debate moments and positioning MAP ahead of the curve rather than reacting to events. Support the organisation in contributing to crisis communications planning and responding to mitigate reputational risks. Media management Lead on the development and delivery of high-impact content to raise MAP s profile and influence, and to drive public and supporter engagement. Actively seek out and develop opportunities for MAP to shape public, political and sector debates, including through opinion pieces, broadcast opportunities, podcasts, industry and specialist media, conferences and high-level events. Manage MAP s Senior Media and Communications Officer, fostering professional growth, confidence and judgement. Conduct regular one to ones, appraisals, and support their work. Manage the production, review and sign off of all media materials including press releases, op-eds, letters to the editor, media updates, and other external communications content where necessary. Ensure efficient delegation where required. Lead media engagement, including briefing spokespeople and coordinating MAP s responses to media inquiries, ensuring delegation where required. Provide high-quality briefing, messaging development, and media preparation for senior staff engaging externally. Maintain and build strong, trusted relationships with journalists and editors across UK and international media. Alert MAP s staff to imminent news and current affairs stories, and recommend communications actions or restraint as appropriate. Advocacy and campaigns communications Develop strategic communications plans for MAP s advocacy and campaigning initiatives (such as, party conferences, parliamentary and UN engagement), identifying media opportunities, and ensuring key messaging is aligned with advocacy objectives and reaches targeted audiences. Work closely with MAP s Advocacy and Campaigns Team to amplify campaign impact through coordinated media and supporter-facing communications. Strengthen MAP s role in advocacy coalitions by leading collaborative media and communications outputs with partners. Help ensure that communities MAP supports have a voice in campaigns, that their perspectives shape messaging and that communications do not expose staff, partners or communities to undue risk. Advise on the strategic communication opportunities to profile and disseminate policy and research outputs. General responsibilities Support the mission, ethos and values of MAP. Support advocacy and research functions as required. Manage external suppliers providing design, printing and other support as required. Represent MAP at external meetings including with media, partners and supporters, and deliver talks when required. Carry out fact-checking, proof-reading/copy editing and other administrative tasks as needed. Carry out other associated duties as may arise in line with the broad remit of the position. Support and promote diversity and equality of opportunity in the workplace. Work collaboratively with others in all aspects of our work. PERSON SPECIFICATION Experience and knowledge Substantial, relevant and recent experience of communications at a national and/or international level within humanitarian, healthcare or human rights organisations. Strong track record of developing and implementing communications strategies to achieve advocacy and fundraising objectives. Experience in overseeing organisational language and messaging frameworks in politically sensitive contexts. Strong experience in media relations, including briefing spokespeople, drafting press releases, reactive and proactive media handling, and securing media coverage. Understanding of digital communications and campaign tools (e.g., petitions, email campaigns) and audience engagement strategies. Experience working with fundraising/marketing teams, consultants and agencies. Strong understanding of political risk, reputational management and crisis communications. Knowledge and understanding of the political context and of development and humanitarian issues in Palestine and Lebanon and the wider Middle East is desirable. Skills and abilities Strong communicator (written and oral) and persuasive storyteller. In depth understanding of how media can be a tool for influence and to achieve change. Confident interpersonal, influencing and relationship management skills, and an ability to pitch stories persuasively to media and other targets. Creativity and a willingness to innovate. Fluent written and spoken English. Ability to prioritise and ability to deal with competing demands in a fast-paced working environment. Ability to work collaboratively and independently, with sound judgement and discretion. Keen attention to detail, copy/proof editing and quality control on all outputs. Working knowledge of Arabic is an advantage. Personal attributes and other requirements Commitment to human rights, international justice, and promoting Palestinian participation in communications and campaigns. Able to travel extensively within London and the UK and willingness to travel to Lebanon and the occupied Palestinian territory occasionally as required. Able to work occasionally on evenings and weekends, with time off in lieu. Commitment to advancing anti-racism, anti-discrimination and equal opportunities.
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.
Mar 03, 2026
Full time
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.
Mar 03, 2026
Full time
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.
Mar 03, 2026
Full time
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.
Role overview: Account Executive York Currys, York Permanent Full Time 30-39 hours per week, with flexibility to work additional hours £13.32 per hour (London stores will get an additional £0.45 per hour), plus an average bonus per hour of £1.77 At Currys were united by one passion: to help everyone enjoy amazing technology.As the UKs best-known retailer of tech, were proud of the service our customers receive and its all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing. Our Account Executives have the skills and ideas that make the magic happen for our business to business (B2B) operation. Their mission is to connect our business customers with the right tech to meet their business needs, creating an unforgettable experience in the process that keeps them coming back. Youll be proactive in finding opportunities and be quick to adapt in an ever-changing industry. Every decision you make will keep our business customers at the heart of it. Role overview: As part of this role, youll be responsible for: ? Making every customer interaction memorable. ? Asking the right questions to match business customers with products. ? Building and maintaining a network of local business owners. ? Growing new business relationships and developing accounts. ? Contributing towards the overall sales performance of the store. ? Being aware of local competitor activities and suggesting ways to stay ahead. Our Account Executives all possess the same passion for doing great work. Supporting local companies and business owners is their goal, and they are focused on unlocking the potential in every customer interaction to put the right technology within everyones reach. You will need: ? Experience working with customers either in a retail or B2B environment (or both!). ? The drive to achieve targets and exceed customer expectations. ? An eagerness to learn about the latest technology. ? To be confident working in a team. We know our people are the secret to our success. Thats why were always looking for ways to reward great work. Alongside 30 days of annual leave (including bank holiday entitlement) and a competitive pension scheme (for permanent colleagues), youll find a host of benefits designed to work for you. They include: ? Monthly performance-related bonus. ? Product discounts on the latest tech. ? A range of wellbeing initiatives. Why join us: Join our Business Sales team and well be with you every step of the way, helping you make this role your own and develop the career you want. Well give you the chance to learn new skills, try out different opportunities and work with teams across the business to help you progress quickly. Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, were in a position to make a real impact on people and the planet. Every voice has a space at our table and were committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email and well do our best to help. JBRP1_UKTJ
Mar 03, 2026
Full time
Role overview: Account Executive York Currys, York Permanent Full Time 30-39 hours per week, with flexibility to work additional hours £13.32 per hour (London stores will get an additional £0.45 per hour), plus an average bonus per hour of £1.77 At Currys were united by one passion: to help everyone enjoy amazing technology.As the UKs best-known retailer of tech, were proud of the service our customers receive and its all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing. Our Account Executives have the skills and ideas that make the magic happen for our business to business (B2B) operation. Their mission is to connect our business customers with the right tech to meet their business needs, creating an unforgettable experience in the process that keeps them coming back. Youll be proactive in finding opportunities and be quick to adapt in an ever-changing industry. Every decision you make will keep our business customers at the heart of it. Role overview: As part of this role, youll be responsible for: ? Making every customer interaction memorable. ? Asking the right questions to match business customers with products. ? Building and maintaining a network of local business owners. ? Growing new business relationships and developing accounts. ? Contributing towards the overall sales performance of the store. ? Being aware of local competitor activities and suggesting ways to stay ahead. Our Account Executives all possess the same passion for doing great work. Supporting local companies and business owners is their goal, and they are focused on unlocking the potential in every customer interaction to put the right technology within everyones reach. You will need: ? Experience working with customers either in a retail or B2B environment (or both!). ? The drive to achieve targets and exceed customer expectations. ? An eagerness to learn about the latest technology. ? To be confident working in a team. We know our people are the secret to our success. Thats why were always looking for ways to reward great work. Alongside 30 days of annual leave (including bank holiday entitlement) and a competitive pension scheme (for permanent colleagues), youll find a host of benefits designed to work for you. They include: ? Monthly performance-related bonus. ? Product discounts on the latest tech. ? A range of wellbeing initiatives. Why join us: Join our Business Sales team and well be with you every step of the way, helping you make this role your own and develop the career you want. Well give you the chance to learn new skills, try out different opportunities and work with teams across the business to help you progress quickly. Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, were in a position to make a real impact on people and the planet. Every voice has a space at our table and were committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email and well do our best to help. JBRP1_UKTJ
Salary: £57,270 (GBP) - £59,820 (GBP) + Salary Packaging (providing Australian tax benefits of up to £9,740 (GBP Full-time or Part-time position £2,100 (GBP) Sign-on bonus (limited time) Working Holiday Visa 417 welcome SPA Registered About this company: Welcome to Rocky Bay in Western Australia, we're looking for experienced Senior Speech Pathologists who are passionate about person-centred care and ready to take the next step in their career. We have vacancies in our Mandurah, Rockingham, Geraldton and Metropolitan locations. JoinRocky Bayin Western Australia and take your allied health career to the next level while living the beach lifestyle youve always wanted! Enjoy flexible hours, professional growth opportunities, and generous perks (including a £2,100 (GBP) sign-on bonus). With stunning coast line, outdoor adventures, and year-round sunshine its the perfect move for UK professionals ready to combine purpose with paradise. In this rewarding role, you will have the opportunity to: Collaborate closely with families, caregivers, and other healthcare professionals to develop and implement personalised treatment plans that promote effective communication, swallowing, and overall quality of life Utilise your expertise in augmentative and alternative communication (AAC) devices and strategies to facilitate meaningful interactions and increase independence. Actively participate in multidisciplinary team meetings, contributing your valuable insights and recommendations for holistic client care. Stay up-to-date with the latest research, best practices, and innovative approaches in the field of Speech Pathology, continuously enhancing your skills and knowledge Key Responsibilities Conduct comprehensive speech pathology assessments and develop tailored intervention plans Provide evidence-based therapy across speech, language, fluency, mealtimes, and social communication Collaborate with families, educators, and allied professionals to promote meaningful communication and participation. Manage a varied caseload of NDIS and private clients with full support Manages own case list and supports therapists to manage their case list, ensuring values in action and clinical standards are met Liaises with the Team Leader if there are performance concerns regarding the clinical practice of a staff member, especially during their probationary period Provides clinical guidance and leadership to therapists within own discipline across TS, supporting them in developing the fundamental skills, knowledge and competencies or directing them to appropriate subject matter experts (Domain Advisors/Advanced Clinicians); identifying efficient strategies to achieve this across the whole program. Oversees the Learning & Development (L&D) needs of the discipline Coordinates, develops and/or conducts orientation/training in fundamental clinical skill development Profile: Bachelor's or Master's degree in Speech Pathology and current Speech Pathology Australia membership Strong clinical reasoning skills and knowledge Experience in coaching and mentoring allied health staff and working within an interdisciplinary team Experience working with people with intellectual disabilities, autism, or complex needs Excellent communication skills and ability to work effectively in a team environment Current driver's licence and willingness to travel between sites A passion for making a positive difference in the lives of individuals with disabilities Highly developed analytical and problem-solving abilities Well-developed time management skills and ability to prioritise competing demands. Benefits: A wide range of employee benefits, including HBF Health discounts, Commonwealth Bank product discounts, among others Manage your own calendar with both full-time and part-time availability - choose your hours and days to suit your work/life balance - family friendly! Bring a friend on board and be rewarded with £1,050 (GBP)! Access to expert training from experienced therapists with 10+ years of clinical experience Fleet cars for work-related travel and free parking Long service leave (pro-rata after 5 years) Purchased Leave Program to increase annual leave up to 6 weeks each year 6 weeks paid parental leave Comprehensive onboarding and internal training programs, and an opportunity to apply for external professional development. Opportunity to apply for the internal Emerging Leaders Program, the Rocky Bay scholarship program, Certificate IV in Leadership and Management and involvement in research and projects. By proceeding you'll be directed to our Careers Page for this position. Click "Apply" on that page under the Apply Now heading to proceed with your application. We have some compliance requirements that will be required if your application progresses If you meet the criteria mentioned above, we'd love to consider you. Click the APPLY button to submit Inclusivity is a top priority, and that includes making our recruitment process accessible for everyone. If you need any adjustments to accommodate your unique situation or want more information about the role, please reach out to us. We're here to help! At Rocky Bay, we come from all walks of life. We all have different backgrounds and experiences, making us who we are. Were building a culture where uniqueness is valued- whether race, gender, disability, age, religion or LGBTQIA+ identity. We are committed to building an inclusive team, making us the best we can be. We encourage you to apply. Rocky Bay acknowledges the traditional custodians on whose land we work, the people of the Noongar and Yamatji nations, and recognises their continued connection to the land, waters and skies. We pay our respect to their Leaders - past, present and emerging. JBRP1_UKTJ
Mar 03, 2026
Full time
Salary: £57,270 (GBP) - £59,820 (GBP) + Salary Packaging (providing Australian tax benefits of up to £9,740 (GBP Full-time or Part-time position £2,100 (GBP) Sign-on bonus (limited time) Working Holiday Visa 417 welcome SPA Registered About this company: Welcome to Rocky Bay in Western Australia, we're looking for experienced Senior Speech Pathologists who are passionate about person-centred care and ready to take the next step in their career. We have vacancies in our Mandurah, Rockingham, Geraldton and Metropolitan locations. JoinRocky Bayin Western Australia and take your allied health career to the next level while living the beach lifestyle youve always wanted! Enjoy flexible hours, professional growth opportunities, and generous perks (including a £2,100 (GBP) sign-on bonus). With stunning coast line, outdoor adventures, and year-round sunshine its the perfect move for UK professionals ready to combine purpose with paradise. In this rewarding role, you will have the opportunity to: Collaborate closely with families, caregivers, and other healthcare professionals to develop and implement personalised treatment plans that promote effective communication, swallowing, and overall quality of life Utilise your expertise in augmentative and alternative communication (AAC) devices and strategies to facilitate meaningful interactions and increase independence. Actively participate in multidisciplinary team meetings, contributing your valuable insights and recommendations for holistic client care. Stay up-to-date with the latest research, best practices, and innovative approaches in the field of Speech Pathology, continuously enhancing your skills and knowledge Key Responsibilities Conduct comprehensive speech pathology assessments and develop tailored intervention plans Provide evidence-based therapy across speech, language, fluency, mealtimes, and social communication Collaborate with families, educators, and allied professionals to promote meaningful communication and participation. Manage a varied caseload of NDIS and private clients with full support Manages own case list and supports therapists to manage their case list, ensuring values in action and clinical standards are met Liaises with the Team Leader if there are performance concerns regarding the clinical practice of a staff member, especially during their probationary period Provides clinical guidance and leadership to therapists within own discipline across TS, supporting them in developing the fundamental skills, knowledge and competencies or directing them to appropriate subject matter experts (Domain Advisors/Advanced Clinicians); identifying efficient strategies to achieve this across the whole program. Oversees the Learning & Development (L&D) needs of the discipline Coordinates, develops and/or conducts orientation/training in fundamental clinical skill development Profile: Bachelor's or Master's degree in Speech Pathology and current Speech Pathology Australia membership Strong clinical reasoning skills and knowledge Experience in coaching and mentoring allied health staff and working within an interdisciplinary team Experience working with people with intellectual disabilities, autism, or complex needs Excellent communication skills and ability to work effectively in a team environment Current driver's licence and willingness to travel between sites A passion for making a positive difference in the lives of individuals with disabilities Highly developed analytical and problem-solving abilities Well-developed time management skills and ability to prioritise competing demands. Benefits: A wide range of employee benefits, including HBF Health discounts, Commonwealth Bank product discounts, among others Manage your own calendar with both full-time and part-time availability - choose your hours and days to suit your work/life balance - family friendly! Bring a friend on board and be rewarded with £1,050 (GBP)! Access to expert training from experienced therapists with 10+ years of clinical experience Fleet cars for work-related travel and free parking Long service leave (pro-rata after 5 years) Purchased Leave Program to increase annual leave up to 6 weeks each year 6 weeks paid parental leave Comprehensive onboarding and internal training programs, and an opportunity to apply for external professional development. Opportunity to apply for the internal Emerging Leaders Program, the Rocky Bay scholarship program, Certificate IV in Leadership and Management and involvement in research and projects. By proceeding you'll be directed to our Careers Page for this position. Click "Apply" on that page under the Apply Now heading to proceed with your application. We have some compliance requirements that will be required if your application progresses If you meet the criteria mentioned above, we'd love to consider you. Click the APPLY button to submit Inclusivity is a top priority, and that includes making our recruitment process accessible for everyone. If you need any adjustments to accommodate your unique situation or want more information about the role, please reach out to us. We're here to help! At Rocky Bay, we come from all walks of life. We all have different backgrounds and experiences, making us who we are. Were building a culture where uniqueness is valued- whether race, gender, disability, age, religion or LGBTQIA+ identity. We are committed to building an inclusive team, making us the best we can be. We encourage you to apply. Rocky Bay acknowledges the traditional custodians on whose land we work, the people of the Noongar and Yamatji nations, and recognises their continued connection to the land, waters and skies. We pay our respect to their Leaders - past, present and emerging. JBRP1_UKTJ
JOB TITLE: Hotel Department Administrator DEPARTMENT: Hotels REPORTS TO: Optimisation and L&D Manager Business Context: With offices across the continent and affiliates around the globe, VOSAIO brings a world of European travel solutions. We re the foremost specialists in the B2B travel sector and our unparalleled experience and market-leading service have driven significant sales growth in recent years. Allied to our buying power, our corporate expertise has enabled us to partner with the very best local suppliers at destinations throughout Europe. The Role: The Hotel Department Administrator provides administrative support to the Hotel Purchasing Specialist team and management, assisting with the coordination of hotel bookings and supplier communications. The role involves managing confirmations, amendments, deadlines, and documentation, while ensuring accurate records and effective day-to-day support of the hotel department function. We are ideally seeking a UK-based candidate who can commute to our Hammersmith headquarters (with a hybrid working arrangement available following probation), and who demonstrates strong attention to detail, a willingness to learn, and a collaborative, team-focused approach. Key Responsibilities: Monitor and follow up on outstanding supplier responses in a timely manner, including deadline extensions, booking confirmations and cancellations, rooming list amendments, special requests, and proforma invoices. Liaise with suppliers via email and telephone in line with sales requirements. Screen, process, and accurately archive all supplier responses and documentation. Request and follow up on information relating to visa letters, as required. Monitor outstanding pre-payments and deposits, and liaise with both the Sales team and suppliers to ensure timely resolution. Confirm bookings, ensuring all terms and conditions are agreed prior to finalisation. Produce daily reports on expiring option deadlines. Assist with the creation and setup of new products. Undertake ad hoc administrative duties to support the wider team. Person Profile: Fluency in English, both written and spoken, is essential. Demonstrated ability to collaborate effectively in a team-based environment. Strong organisational and time management skills. Excellent attention to detail. Additional European language skills are essential. What you can expect: A competitive salary, commensurate with experience. A friendly, supportive team and a positive working environment. A modern London office designed to support collaboration and productivity. Hybrid working arrangements available following successful completion of a 3-month probation period. Comprehensive training and ongoing support to help you succeed in the role.
Mar 03, 2026
Full time
JOB TITLE: Hotel Department Administrator DEPARTMENT: Hotels REPORTS TO: Optimisation and L&D Manager Business Context: With offices across the continent and affiliates around the globe, VOSAIO brings a world of European travel solutions. We re the foremost specialists in the B2B travel sector and our unparalleled experience and market-leading service have driven significant sales growth in recent years. Allied to our buying power, our corporate expertise has enabled us to partner with the very best local suppliers at destinations throughout Europe. The Role: The Hotel Department Administrator provides administrative support to the Hotel Purchasing Specialist team and management, assisting with the coordination of hotel bookings and supplier communications. The role involves managing confirmations, amendments, deadlines, and documentation, while ensuring accurate records and effective day-to-day support of the hotel department function. We are ideally seeking a UK-based candidate who can commute to our Hammersmith headquarters (with a hybrid working arrangement available following probation), and who demonstrates strong attention to detail, a willingness to learn, and a collaborative, team-focused approach. Key Responsibilities: Monitor and follow up on outstanding supplier responses in a timely manner, including deadline extensions, booking confirmations and cancellations, rooming list amendments, special requests, and proforma invoices. Liaise with suppliers via email and telephone in line with sales requirements. Screen, process, and accurately archive all supplier responses and documentation. Request and follow up on information relating to visa letters, as required. Monitor outstanding pre-payments and deposits, and liaise with both the Sales team and suppliers to ensure timely resolution. Confirm bookings, ensuring all terms and conditions are agreed prior to finalisation. Produce daily reports on expiring option deadlines. Assist with the creation and setup of new products. Undertake ad hoc administrative duties to support the wider team. Person Profile: Fluency in English, both written and spoken, is essential. Demonstrated ability to collaborate effectively in a team-based environment. Strong organisational and time management skills. Excellent attention to detail. Additional European language skills are essential. What you can expect: A competitive salary, commensurate with experience. A friendly, supportive team and a positive working environment. A modern London office designed to support collaboration and productivity. Hybrid working arrangements available following successful completion of a 3-month probation period. Comprehensive training and ongoing support to help you succeed in the role.
Head of Technology Infrastructure page is loaded Head of Technology Infrastructurelocations: Manchestertime type: Full timeposted on: Posted 4 Days Agojob requisition id: JR100671 Head of Technology Infrastructure Manchester Monex is a leading global financial solutions provider, offering a complete set of tools to support business growth and strategic financial operations. We specialise in FX risk management and international payments, helping corporate and institutional clients design tailored FX solutions to navigate currency volatility with confidence. Our team of FX specialists implement well-considered currency strategies, offering dedicated support to help clients manage their payment needs - whether for goods, services, or direct investments. In 2023, Monex facilitated $309 billion in FX turnover, managed $10.7 billion in assets, and processed 8.5 million transactions. With offices across North America (Canada, the US, and Mexico), Asia (Singapore), and Europe (the UK, Spain, and the Netherlands), we serve over 66,000 clients worldwide. By combining global reach with deep local market expertise, Monex enhances businesses with a suite of financial solutions and FX market analysis to help optimise efficiency, mitigate currency risk, and protect margins in an increasingly complex financial landscape. Our corporate client experience is further enhanced by our dedicated sector expertise across a range of industries. Job Overview Head of Infrastructure to lead and evolve our global Infrastructure & Operations function. You will own our Microsoft 365, Windows, Entra ID, Azure, and Meraki network estate, ensuring resilience, compliance, and world class service delivery across a regulated financial environment. Infrastructure strategy, governance, and roadmap for a multi country financial services organisation. Identity, access, and security controls across Entra ID, Microsoft 365, and Windows endpoints. Azure cloud operations, modernisation, cost governance, and migration away from legacy platforms. Global Meraki / Cisco networking (SD WAN, Wi Fi, switching, security appliances) ensuring secure, highly available connectivity. MSP/vendor oversight, SLA management, and continuous service improvement. Regulatory and audit compliance across all infrastructure domains, including GDPR and FCA-aligned controls. Skills & Experience Required Technical Expertise Deep experience with: Microsoft 365 administration Windows desktop/server environments Entra ID / Azure AD identity governance Azure cloud infrastructure (IaaS, PaaS, governance, landing zones) Meraki networking (SD WAN, switching, Wi Fi, security appliances) Strong understanding of regulated financial services requirements (e.g., FCA, SMCR, GDPR, audit frameworks). Leadership & Management Proven experience leading infrastructure teams in complex or regulated environments. Experienced in managing MSPs, vendors, and multi country technology operations. Skilled in service design, operational leadership, and improvement initiatives. Soft Skills Excellent communication with business, senior leadership, auditors, and external partners. Strategic thinker with the ability to translate regulatory and business requirements into technical delivery. Strong organisational, planning, and prioritisation skills. Business Knowledge / Technical Skills: Previous experience of working within a regulated investment firm or strong equivalent demonstrable knowledge within a relevant Financial Services firm is desirable; Knowledge of the regulatory environment in which an FX firm operates; Able to demonstrate an understanding of the purpose of technology risk management and compliance within a regulated environment; Leadership / Management Skills: Leads by example, embodying the culture and values of the Company; Cultivate an environment of psychological safety, innovation, creativity and increased productivity; Able to anticipate issues and risks and mitigate accordingly; Credibility in dealing with clients and colleagues across a complex organisations with different cultures and geographies; Ensuring and maintaining the standard of all documentation for their department's systems, controls, policies and processes; Critical Systems / Knowledge Skills: Cloud Technology (Azure) IT Infrastructure (Servers, Cisco / Meraki Network, W11) O365 / M365, Azure Entra ID,s and MS cloud app provisioning and support ITSM tools and ITIL processes IT Security (ISO 27001) Remote access Agile (Scrum) Ideally Banking and counterparty systems HR & Finance Systems - Workday If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !
Mar 03, 2026
Full time
Head of Technology Infrastructure page is loaded Head of Technology Infrastructurelocations: Manchestertime type: Full timeposted on: Posted 4 Days Agojob requisition id: JR100671 Head of Technology Infrastructure Manchester Monex is a leading global financial solutions provider, offering a complete set of tools to support business growth and strategic financial operations. We specialise in FX risk management and international payments, helping corporate and institutional clients design tailored FX solutions to navigate currency volatility with confidence. Our team of FX specialists implement well-considered currency strategies, offering dedicated support to help clients manage their payment needs - whether for goods, services, or direct investments. In 2023, Monex facilitated $309 billion in FX turnover, managed $10.7 billion in assets, and processed 8.5 million transactions. With offices across North America (Canada, the US, and Mexico), Asia (Singapore), and Europe (the UK, Spain, and the Netherlands), we serve over 66,000 clients worldwide. By combining global reach with deep local market expertise, Monex enhances businesses with a suite of financial solutions and FX market analysis to help optimise efficiency, mitigate currency risk, and protect margins in an increasingly complex financial landscape. Our corporate client experience is further enhanced by our dedicated sector expertise across a range of industries. Job Overview Head of Infrastructure to lead and evolve our global Infrastructure & Operations function. You will own our Microsoft 365, Windows, Entra ID, Azure, and Meraki network estate, ensuring resilience, compliance, and world class service delivery across a regulated financial environment. Infrastructure strategy, governance, and roadmap for a multi country financial services organisation. Identity, access, and security controls across Entra ID, Microsoft 365, and Windows endpoints. Azure cloud operations, modernisation, cost governance, and migration away from legacy platforms. Global Meraki / Cisco networking (SD WAN, Wi Fi, switching, security appliances) ensuring secure, highly available connectivity. MSP/vendor oversight, SLA management, and continuous service improvement. Regulatory and audit compliance across all infrastructure domains, including GDPR and FCA-aligned controls. Skills & Experience Required Technical Expertise Deep experience with: Microsoft 365 administration Windows desktop/server environments Entra ID / Azure AD identity governance Azure cloud infrastructure (IaaS, PaaS, governance, landing zones) Meraki networking (SD WAN, switching, Wi Fi, security appliances) Strong understanding of regulated financial services requirements (e.g., FCA, SMCR, GDPR, audit frameworks). Leadership & Management Proven experience leading infrastructure teams in complex or regulated environments. Experienced in managing MSPs, vendors, and multi country technology operations. Skilled in service design, operational leadership, and improvement initiatives. Soft Skills Excellent communication with business, senior leadership, auditors, and external partners. Strategic thinker with the ability to translate regulatory and business requirements into technical delivery. Strong organisational, planning, and prioritisation skills. Business Knowledge / Technical Skills: Previous experience of working within a regulated investment firm or strong equivalent demonstrable knowledge within a relevant Financial Services firm is desirable; Knowledge of the regulatory environment in which an FX firm operates; Able to demonstrate an understanding of the purpose of technology risk management and compliance within a regulated environment; Leadership / Management Skills: Leads by example, embodying the culture and values of the Company; Cultivate an environment of psychological safety, innovation, creativity and increased productivity; Able to anticipate issues and risks and mitigate accordingly; Credibility in dealing with clients and colleagues across a complex organisations with different cultures and geographies; Ensuring and maintaining the standard of all documentation for their department's systems, controls, policies and processes; Critical Systems / Knowledge Skills: Cloud Technology (Azure) IT Infrastructure (Servers, Cisco / Meraki Network, W11) O365 / M365, Azure Entra ID,s and MS cloud app provisioning and support ITSM tools and ITIL processes IT Security (ISO 27001) Remote access Agile (Scrum) Ideally Banking and counterparty systems HR & Finance Systems - Workday If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !
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.
Mar 03, 2026
Full time
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.
Mar 03, 2026
Full time
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.
Mar 03, 2026
Full time
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.
