Are you an experienced Power Electronics Engineer with a strong background in control systems and mathematical modelling? Do you thrive on designing high-power systems and want to play a key role in advancing next-generation battery charging technology? We're working with a global engineering organisation that is expanding its R&D team in Glasgow. This is a fantastic opportunity to contribute to cutting-edge power electronics projects, developing innovative battery chargers and power converters used across a wide range of industrial applications-both indoor and outdoor-spanning 400W to 30kW. Location: Glasgow (Hybrid working available) The Role As part of a highly collaborative, multidisciplinary team, you will: Develop creative solutions for the rapidly growing automated material handling equipment market Work closely with software, hardware, and mechanical engineering teams Design, simulate, and optimise switching converters using tools such as Mathcad, Simplis, SPICE, and MATLAB/Simulink Take ownership of your work, manage priorities, and communicate progress effectively Contribute to advanced power electronics projects, with a focus on converter modelling and control What We're Looking For Proven experience designing power electronics topologies (Buck, Boost, LLC) Strong understanding of voltage/current sensing, scaling, and measurement techniques Familiarity with schematic capture tools Solid theoretical knowledge of magnetics Awareness of global EMC standards Experience with thermal design (convection, forced air, cold plate, or liquid cooling) Background in model-based development, auto-code generation, and deployment Expertise in power converter plant and controller modelling Hands-on experience with lab equipment (oscilloscopes, meters, dataloggers) Ability to work within structured, process-driven environments and contribute to technical documentation Why Apply? This is an excellent opportunity for a skilled engineer looking to make a tangible impact in green energy technology. You'll be working on innovative products at the forefront of power electronics, within a supportive and forward-thinking R&D environment. If you're ready to take the next step in your career and be part of something impactful, we'd love to hear from you. WA Consultants is an Employment Business and an Employment Agency as described within The Conduct of Employment Agencies and Employment Businesses Regulations 2003.
Apr 21, 2026
Full time
Are you an experienced Power Electronics Engineer with a strong background in control systems and mathematical modelling? Do you thrive on designing high-power systems and want to play a key role in advancing next-generation battery charging technology? We're working with a global engineering organisation that is expanding its R&D team in Glasgow. This is a fantastic opportunity to contribute to cutting-edge power electronics projects, developing innovative battery chargers and power converters used across a wide range of industrial applications-both indoor and outdoor-spanning 400W to 30kW. Location: Glasgow (Hybrid working available) The Role As part of a highly collaborative, multidisciplinary team, you will: Develop creative solutions for the rapidly growing automated material handling equipment market Work closely with software, hardware, and mechanical engineering teams Design, simulate, and optimise switching converters using tools such as Mathcad, Simplis, SPICE, and MATLAB/Simulink Take ownership of your work, manage priorities, and communicate progress effectively Contribute to advanced power electronics projects, with a focus on converter modelling and control What We're Looking For Proven experience designing power electronics topologies (Buck, Boost, LLC) Strong understanding of voltage/current sensing, scaling, and measurement techniques Familiarity with schematic capture tools Solid theoretical knowledge of magnetics Awareness of global EMC standards Experience with thermal design (convection, forced air, cold plate, or liquid cooling) Background in model-based development, auto-code generation, and deployment Expertise in power converter plant and controller modelling Hands-on experience with lab equipment (oscilloscopes, meters, dataloggers) Ability to work within structured, process-driven environments and contribute to technical documentation Why Apply? This is an excellent opportunity for a skilled engineer looking to make a tangible impact in green energy technology. You'll be working on innovative products at the forefront of power electronics, within a supportive and forward-thinking R&D environment. If you're ready to take the next step in your career and be part of something impactful, we'd love to hear from you. WA Consultants is an Employment Business and an Employment Agency as described within The Conduct of Employment Agencies and Employment Businesses Regulations 2003.
Senior Principal Associate - Mechanical Engineering 60,000 per annum (Negotiable) Office based, with occasional site visits Market Leading Client in Wales Overview My client is seeking a highly skilled and experienced Senior Principal Associate with a strong mechanical engineering background to join our Cardiff-based team. This is an exciting opportunity to work with one of Wales' leading specialist consultancies in Mechanical, Electrical, Public Health, and Sustainability engineering. Their projects span a wide range of sectors, including education, healthcare, heritage, industrial, commercial offices, residential developments, and community infrastructure. This role is ideal for a professional with senior-level expertise in mechanical design, excellent client-facing skills, and the ability to lead and deliver innovative, sustainable design solutions. Benefits Competitive salary of 60,000 (negotiable based on experience). Opportunity to work on diverse and impactful projects across multiple sectors. Professional development and career progression opportunities. Collaborative and supportive work environment. Mileage reimbursement for site visits. Flexible salary negotiation to attract the right candidate. Day-to-Day Work from our Cardiff-based office, collaborating with a dynamic and professional team. Attend client meetings to discuss project requirements and provide updates. Conduct site visits, including occasional travel to Haverfordwest, to inspect and supervise ongoing projects. Develop and review mechanical design solutions tailored to client needs. Provide guidance and support to junior engineers and team members. Ensure all work complies with industry standards, regulations, and best practices. Responsibilities Lead mechanical design projects from concept to completion, ensuring high-quality and sustainable solutions. Conduct site inspections, including occasional visits to Haverfordwest, to oversee project progress and ensure compliance with design specifications. Act as the primary point of contact for clients, fostering strong relationships and ensuring their needs are met. Collaborate with multidisciplinary teams to deliver tailored engineering solutions across various sectors. Provide technical leadership and mentorship to junior team members. Prepare and review technical reports, drawings, and specifications. Ensure projects are delivered on time, within budget, and to the highest standards of quality. Qualifications A degree in Mechanical Engineering or a related field. Extensive experience in mechanical design, with a proven track record of delivering complex projects. Strong client-facing skills, with the ability to communicate effectively and build lasting relationships. A valid driver's license and willingness to travel for site visits as required. Senior-level knowledge and expertise in mechanical engineering principles and practices. Proficiency in relevant design software and tools. Chartered Engineer status (or working towards it) is highly desirable. If you are a seasoned mechanical engineering professional with a passion for delivering innovative solutions and building strong client relationships, we would love to hear from you. Join our client in shaping the future of sustainable engineering design. Apply today to take the next step in your career!
Apr 21, 2026
Full time
Senior Principal Associate - Mechanical Engineering 60,000 per annum (Negotiable) Office based, with occasional site visits Market Leading Client in Wales Overview My client is seeking a highly skilled and experienced Senior Principal Associate with a strong mechanical engineering background to join our Cardiff-based team. This is an exciting opportunity to work with one of Wales' leading specialist consultancies in Mechanical, Electrical, Public Health, and Sustainability engineering. Their projects span a wide range of sectors, including education, healthcare, heritage, industrial, commercial offices, residential developments, and community infrastructure. This role is ideal for a professional with senior-level expertise in mechanical design, excellent client-facing skills, and the ability to lead and deliver innovative, sustainable design solutions. Benefits Competitive salary of 60,000 (negotiable based on experience). Opportunity to work on diverse and impactful projects across multiple sectors. Professional development and career progression opportunities. Collaborative and supportive work environment. Mileage reimbursement for site visits. Flexible salary negotiation to attract the right candidate. Day-to-Day Work from our Cardiff-based office, collaborating with a dynamic and professional team. Attend client meetings to discuss project requirements and provide updates. Conduct site visits, including occasional travel to Haverfordwest, to inspect and supervise ongoing projects. Develop and review mechanical design solutions tailored to client needs. Provide guidance and support to junior engineers and team members. Ensure all work complies with industry standards, regulations, and best practices. Responsibilities Lead mechanical design projects from concept to completion, ensuring high-quality and sustainable solutions. Conduct site inspections, including occasional visits to Haverfordwest, to oversee project progress and ensure compliance with design specifications. Act as the primary point of contact for clients, fostering strong relationships and ensuring their needs are met. Collaborate with multidisciplinary teams to deliver tailored engineering solutions across various sectors. Provide technical leadership and mentorship to junior team members. Prepare and review technical reports, drawings, and specifications. Ensure projects are delivered on time, within budget, and to the highest standards of quality. Qualifications A degree in Mechanical Engineering or a related field. Extensive experience in mechanical design, with a proven track record of delivering complex projects. Strong client-facing skills, with the ability to communicate effectively and build lasting relationships. A valid driver's license and willingness to travel for site visits as required. Senior-level knowledge and expertise in mechanical engineering principles and practices. Proficiency in relevant design software and tools. Chartered Engineer status (or working towards it) is highly desirable. If you are a seasoned mechanical engineering professional with a passion for delivering innovative solutions and building strong client relationships, we would love to hear from you. Join our client in shaping the future of sustainable engineering design. Apply today to take the next step in your career!
Senior Cyber Security Splunk SME Full Time Permanent Fully onsite - Moorgate, London EC2Y £80-92K basic + benefits (5% pension, 25 days hols, life insurance, medical cover) Are you an experienced Splunk SME looking for a new challenge? Do you have a strong background in Splunk, IAM and SOAR with a high-level understanding of wider Splunk ecosystem, along with Incident Management, Python and Powershell skills? Here at ARM, we are recruiting for a full time permanent Splunk SME for a global IT services and consultancy client of ours. Our client: They're a leading business with a global reach that empowers local teams, and they undertake hugely exciting work that is genuinely changing the world. Their advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. They're a rapidly growing, people-first technology organisation and part of a $1B global service provider delivering end-to-end IT Outsourcing (ITO) and Cyber Defence services to clients across the UK and beyond. Within their Security Practice, they provide a range of services including Managed Detection and Response (MDR), Vulnerability Management, Penetration Testing, Incident Response, and consultancy led Security Advisory services. You'll be joining a team that values learning, celebrates innovation, and supports your career journey every step of the way. The Opportunity: We are looking for a skilled Splunk Specialist to deliver end-to-end Splunk engagements, helping clients build and enhance their security monitoring capabilities. You will lead the full project life cycle, from requirements gathering and stakeholder engagement through to data onboarding, alert development, and dashboard creation, ensuring solutions are aligned to both business and security objectives. You will bring strong hands-on experience with Splunk Enterprise Security and a proven track record in delivering cybersecurity projects. This includes designing and implementing detection use cases, tuning alerts, and developing dashboards that provide clear, actionable insights for security operations teams. Experience with SOAR and UEBA technologies is advantageous but not essential. This role suits someone who enjoys working in a client-facing environment, solving complex challenges, and contributing to the ongoing evolution of modern Security Operations Centres. What You'll Be Doing: Design, build, and continuously enhance detection capabilities within Splunk across Linux and Windows environments, including log onboarding, normalisation, and enrichment Develop and maintain high-quality detection content such as correlation searches and risk-based alerting within Splunk Enterprise Security Write and optimise complex queries to support threat detection, proactive threat hunting, and anomaly identification Map detection logic to adversary behaviours using the MITRE ATT&CK Framework, ensuring effective coverage of tactics, techniques, and procedures Work with the wider Splunk ecosystem, including tools like TrackMe, and contribute to automation and orchestration initiatives (including exposure to SOAR where applicable) Leverage Scripting languages such as Python and PowerShell to automate detection logic, enrich data, and integrate with security workflows Provide mentorship and technical guidance to junior engineers, particularly on Splunk Back End activities such as data ingestion, parsing, indexing, and troubleshooting Collaborate closely with SOC analysts, incident responders, and global engineering teams to improve detection and response capabilities Apply strong analytical and problem-solving skills to translate threat intelligence into actionable detection use cases and continuously improve security operations What We're Looking For: Essential: Experience working on multiple projects with broad scope, ambiguity, and a high degree of difficulty Demonstrable proficiency across a wide range of IT and cybersecurity technologies Strong knowledge of key cybersecurity domains, including Identity and Access Management and Incident Management High-level analytical ability to solve unusual and complex problems Ability to maintain up-to-date working knowledge of cybersecurity principles and best practices Experience in senior stakeholder management and providing clear, relevant management reporting, professional communication - written and verbal. Eligibility to work in the UK. Desirable: Experience in technology projects such as cyber infrastructure implementation or replacement initiatives Understanding of global program structures, launch plans, timing, and ownership Ability to coach and mentor team members through knowledge transfer and constructive feedback Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.
Apr 21, 2026
Full time
Senior Cyber Security Splunk SME Full Time Permanent Fully onsite - Moorgate, London EC2Y £80-92K basic + benefits (5% pension, 25 days hols, life insurance, medical cover) Are you an experienced Splunk SME looking for a new challenge? Do you have a strong background in Splunk, IAM and SOAR with a high-level understanding of wider Splunk ecosystem, along with Incident Management, Python and Powershell skills? Here at ARM, we are recruiting for a full time permanent Splunk SME for a global IT services and consultancy client of ours. Our client: They're a leading business with a global reach that empowers local teams, and they undertake hugely exciting work that is genuinely changing the world. Their advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. They're a rapidly growing, people-first technology organisation and part of a $1B global service provider delivering end-to-end IT Outsourcing (ITO) and Cyber Defence services to clients across the UK and beyond. Within their Security Practice, they provide a range of services including Managed Detection and Response (MDR), Vulnerability Management, Penetration Testing, Incident Response, and consultancy led Security Advisory services. You'll be joining a team that values learning, celebrates innovation, and supports your career journey every step of the way. The Opportunity: We are looking for a skilled Splunk Specialist to deliver end-to-end Splunk engagements, helping clients build and enhance their security monitoring capabilities. You will lead the full project life cycle, from requirements gathering and stakeholder engagement through to data onboarding, alert development, and dashboard creation, ensuring solutions are aligned to both business and security objectives. You will bring strong hands-on experience with Splunk Enterprise Security and a proven track record in delivering cybersecurity projects. This includes designing and implementing detection use cases, tuning alerts, and developing dashboards that provide clear, actionable insights for security operations teams. Experience with SOAR and UEBA technologies is advantageous but not essential. This role suits someone who enjoys working in a client-facing environment, solving complex challenges, and contributing to the ongoing evolution of modern Security Operations Centres. What You'll Be Doing: Design, build, and continuously enhance detection capabilities within Splunk across Linux and Windows environments, including log onboarding, normalisation, and enrichment Develop and maintain high-quality detection content such as correlation searches and risk-based alerting within Splunk Enterprise Security Write and optimise complex queries to support threat detection, proactive threat hunting, and anomaly identification Map detection logic to adversary behaviours using the MITRE ATT&CK Framework, ensuring effective coverage of tactics, techniques, and procedures Work with the wider Splunk ecosystem, including tools like TrackMe, and contribute to automation and orchestration initiatives (including exposure to SOAR where applicable) Leverage Scripting languages such as Python and PowerShell to automate detection logic, enrich data, and integrate with security workflows Provide mentorship and technical guidance to junior engineers, particularly on Splunk Back End activities such as data ingestion, parsing, indexing, and troubleshooting Collaborate closely with SOC analysts, incident responders, and global engineering teams to improve detection and response capabilities Apply strong analytical and problem-solving skills to translate threat intelligence into actionable detection use cases and continuously improve security operations What We're Looking For: Essential: Experience working on multiple projects with broad scope, ambiguity, and a high degree of difficulty Demonstrable proficiency across a wide range of IT and cybersecurity technologies Strong knowledge of key cybersecurity domains, including Identity and Access Management and Incident Management High-level analytical ability to solve unusual and complex problems Ability to maintain up-to-date working knowledge of cybersecurity principles and best practices Experience in senior stakeholder management and providing clear, relevant management reporting, professional communication - written and verbal. Eligibility to work in the UK. Desirable: Experience in technology projects such as cyber infrastructure implementation or replacement initiatives Understanding of global program structures, launch plans, timing, and ownership Ability to coach and mentor team members through knowledge transfer and constructive feedback Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.
I am recruiting for an Infrastructure Engineer to work 3 days in either Newcastle, Manchester, Leeds, Birmingham or Blackpool, 2 days remote. The role falls inside IR35 so you will need to work through an umbrella company for the duration of the contract. Candidates must have worked within central government in the last 12 months. I am looking for a Senior Infrastructure Engineer (NetDevOps) to design, build, and evolve large-scale enterprise network platforms, with a strong focus on modern, automated, and cloud-integrated infrastructure. This role is suited to a hands-on engineer, not an operations or SRE specialist. You will be expected to quickly contribute to design and delivery activities, applying engineering best practice, automation, and network expertise to support critical services. You must demonstrate strong, hands-on experience in Enterprise Networking Engineering including complex OSPF and BGP environments, designing and implementing secure, resilient traffic flows and have a strong understanding of typical enterprise and cloud network patterns. You must also be skilled in Firewall and Security Technologies including extensive experience with Palo Alto Firewalls, policy design and implementation across data centre and cloud and Zero Trust and secure network design principles. Data Centre & Network Architecture is also essential including VXLAN/EVPN, VRF segmentation, and multi-site fabrics, experience with vendors such as Arista (or equivalent) and knowledge of Load balancing technologies (eg F5 BIG-IP: LTM/APM/ASM). Please apply ASAP if this is of interest.
Apr 21, 2026
Contractor
I am recruiting for an Infrastructure Engineer to work 3 days in either Newcastle, Manchester, Leeds, Birmingham or Blackpool, 2 days remote. The role falls inside IR35 so you will need to work through an umbrella company for the duration of the contract. Candidates must have worked within central government in the last 12 months. I am looking for a Senior Infrastructure Engineer (NetDevOps) to design, build, and evolve large-scale enterprise network platforms, with a strong focus on modern, automated, and cloud-integrated infrastructure. This role is suited to a hands-on engineer, not an operations or SRE specialist. You will be expected to quickly contribute to design and delivery activities, applying engineering best practice, automation, and network expertise to support critical services. You must demonstrate strong, hands-on experience in Enterprise Networking Engineering including complex OSPF and BGP environments, designing and implementing secure, resilient traffic flows and have a strong understanding of typical enterprise and cloud network patterns. You must also be skilled in Firewall and Security Technologies including extensive experience with Palo Alto Firewalls, policy design and implementation across data centre and cloud and Zero Trust and secure network design principles. Data Centre & Network Architecture is also essential including VXLAN/EVPN, VRF segmentation, and multi-site fabrics, experience with vendors such as Arista (or equivalent) and knowledge of Load balancing technologies (eg F5 BIG-IP: LTM/APM/ASM). Please apply ASAP if this is of interest.
Job Title: Electrical Supervisor - National Grid Substation (GIS Installation) Location: Finstown Substation, Orkney Islands (KW17 2JY) Start Date: 10/5/2026 Duration: 12+ months Hours: 50 hours per week (10 hours per day, Monday start) Travel & Accommodation: Provided (flights + transfers included) Type: Contract (LTD / PAYE / Umbrella options available) Positions Available: 1 Rates: LTD / Umbrella: 39.00/hr - First 37 hours 41.34/hr - After 37 hours / First 4 hours Saturday 45.06/hr - After 4 hours Saturday / Sunday / Bank Holidays PAYE: 28.85/hr - First 37 hours 30.58/hr - After 37 hours / First 4 hours Saturday 33.34/hr - After 4 hours Saturday / Sunday / Bank Holidays We are currently recruiting for an experienced Electrical Supervisor to support delivery on a major substation project. This is a long-term opportunity with strong earning potential and full travel support. The Role: You will take a supervisory role across electrical work fronts, supporting the Site Manager and ensuring safe, efficient delivery of installation activities. Key responsibilities include: Supervising and coordinating electrical teams across site Ensuring works are delivered on time, to quality, and within cost Forward planning of labour, materials, plant, and engineering information Monitoring programme and flagging delays or disruptions early Ensuring compliance with QEHS procedures and site standards Supporting documentation, reporting, and milestone delivery Requirements: Proven experience supervising works on substation or heavy industrial projects Strong background in electrical installation (GIS experience highly desirable) Ability to lead teams and manage multiple work fronts Essential Tickets: SSEN Authorisation CSCS / CCNSG Safety Passport SSSTS (SMSTS desirable) 3 Day First Aid HSG47 IPAF / MEWP Temporary Works Supervisor Manual Handling & Working at Height What We're Looking For: Strong leadership and communication skills Proactive and forward-thinking approach to site delivery Ability to coordinate teams and maintain programme High standards around safety, quality, and compliance This is a high-value opportunity to join a key substation project, with long-term work, strong rates, and full travel support included. If you're an Electrical Supervisor with substation experience and available immediately, get in touch to discuss further. Search is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age
Apr 21, 2026
Contractor
Job Title: Electrical Supervisor - National Grid Substation (GIS Installation) Location: Finstown Substation, Orkney Islands (KW17 2JY) Start Date: 10/5/2026 Duration: 12+ months Hours: 50 hours per week (10 hours per day, Monday start) Travel & Accommodation: Provided (flights + transfers included) Type: Contract (LTD / PAYE / Umbrella options available) Positions Available: 1 Rates: LTD / Umbrella: 39.00/hr - First 37 hours 41.34/hr - After 37 hours / First 4 hours Saturday 45.06/hr - After 4 hours Saturday / Sunday / Bank Holidays PAYE: 28.85/hr - First 37 hours 30.58/hr - After 37 hours / First 4 hours Saturday 33.34/hr - After 4 hours Saturday / Sunday / Bank Holidays We are currently recruiting for an experienced Electrical Supervisor to support delivery on a major substation project. This is a long-term opportunity with strong earning potential and full travel support. The Role: You will take a supervisory role across electrical work fronts, supporting the Site Manager and ensuring safe, efficient delivery of installation activities. Key responsibilities include: Supervising and coordinating electrical teams across site Ensuring works are delivered on time, to quality, and within cost Forward planning of labour, materials, plant, and engineering information Monitoring programme and flagging delays or disruptions early Ensuring compliance with QEHS procedures and site standards Supporting documentation, reporting, and milestone delivery Requirements: Proven experience supervising works on substation or heavy industrial projects Strong background in electrical installation (GIS experience highly desirable) Ability to lead teams and manage multiple work fronts Essential Tickets: SSEN Authorisation CSCS / CCNSG Safety Passport SSSTS (SMSTS desirable) 3 Day First Aid HSG47 IPAF / MEWP Temporary Works Supervisor Manual Handling & Working at Height What We're Looking For: Strong leadership and communication skills Proactive and forward-thinking approach to site delivery Ability to coordinate teams and maintain programme High standards around safety, quality, and compliance This is a high-value opportunity to join a key substation project, with long-term work, strong rates, and full travel support included. If you're an Electrical Supervisor with substation experience and available immediately, get in touch to discuss further. Search is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age
Multi Trade Engineer All trades considered Location: South of the UK (Travel Required) Company Van provided Salary: £180 £190 per day Employment Type: Full-Time, Permanent (PAYE) About the Role Do you have a proven track record in repairs and maintenance? Are you a skilled Multi Trade Operative who thrives in a fast-paced, reactive environment? If so, this could be the ideal opportunity for you. We are looking to recruit a Multi Trade Engineer to join our Reactive Maintenance Team. The successful candidate will have a core trade in Plumbing or Carpentry, with additional multi-trade skills such as brickwork or roofing highly desirable. The role involves travelling to commercial and retail properties across the South of the UK, carrying out high-quality repairs and maintenance works. About Us CC Cousins is a leading Facilities Maintenance provider, delivering services to commercial and retail properties throughout the South of the UK. Our services include reactive maintenance, planned preventative maintenance (PPM), and large-scale projects. We pride ourselves on quality, reliability, and customer satisfaction. Key Responsibilities Carry out reactive and planned maintenance works across multiple sites Undertake a wide range of tasks including: Roofing Brickwork Carpentry Plumbing Decorating Tiling Minor reactive repairs (e.g. toilet blocks, waste clearance) Complete jobs efficiently, safely, and to a high standard Work independently or as part of a team, using initiative to resolve on-site issues Ensure all works comply with Health & Safety regulations Accurately complete job reports and communicate effectively with the office team Skills & Experience Required Minimum NVQ Level 2 in a relevant trade (Roofing, Carpentry, or Brickwork highly advantageous) At least 3 years trade experience Proven multi-trade maintenance background Ability to work in a reactive, fast-paced environment Strong problem-solving skills and attention to detail Full UK Driving Licence (essential) What We Offer £180 £190 per day Company van and fuel card (business use only) Work phone Full company uniform and PPE 7-day call-out rota (paid on top of basic salary) Overtime opportunities PAYE employment with monthly pay (paid on the 5th of each month) Additional Information Full-time, permanent position Travel across the South of the UK is a key part of the role Participation in an on-call rota is required
Apr 21, 2026
Full time
Multi Trade Engineer All trades considered Location: South of the UK (Travel Required) Company Van provided Salary: £180 £190 per day Employment Type: Full-Time, Permanent (PAYE) About the Role Do you have a proven track record in repairs and maintenance? Are you a skilled Multi Trade Operative who thrives in a fast-paced, reactive environment? If so, this could be the ideal opportunity for you. We are looking to recruit a Multi Trade Engineer to join our Reactive Maintenance Team. The successful candidate will have a core trade in Plumbing or Carpentry, with additional multi-trade skills such as brickwork or roofing highly desirable. The role involves travelling to commercial and retail properties across the South of the UK, carrying out high-quality repairs and maintenance works. About Us CC Cousins is a leading Facilities Maintenance provider, delivering services to commercial and retail properties throughout the South of the UK. Our services include reactive maintenance, planned preventative maintenance (PPM), and large-scale projects. We pride ourselves on quality, reliability, and customer satisfaction. Key Responsibilities Carry out reactive and planned maintenance works across multiple sites Undertake a wide range of tasks including: Roofing Brickwork Carpentry Plumbing Decorating Tiling Minor reactive repairs (e.g. toilet blocks, waste clearance) Complete jobs efficiently, safely, and to a high standard Work independently or as part of a team, using initiative to resolve on-site issues Ensure all works comply with Health & Safety regulations Accurately complete job reports and communicate effectively with the office team Skills & Experience Required Minimum NVQ Level 2 in a relevant trade (Roofing, Carpentry, or Brickwork highly advantageous) At least 3 years trade experience Proven multi-trade maintenance background Ability to work in a reactive, fast-paced environment Strong problem-solving skills and attention to detail Full UK Driving Licence (essential) What We Offer £180 £190 per day Company van and fuel card (business use only) Work phone Full company uniform and PPE 7-day call-out rota (paid on top of basic salary) Overtime opportunities PAYE employment with monthly pay (paid on the 5th of each month) Additional Information Full-time, permanent position Travel across the South of the UK is a key part of the role Participation in an on-call rota is required
Engineering Shift Supervisor Llansamlet 4 on 4 off - Days & Nights £48,500 Yolk Recruitment is supporting an established and highly respected manufacturing business in the Llansamlet area in their search for an Engineering Shift Manager to join their site-based engineering team on a permanent 4 on 4 off days and nights shift pattern. This is a fantastic opportunity to step into a leadership role within a business that places a strong emphasis on engineering excellence, reliability, and continuous improvement. Operating from a modern, high-volume manufacturing site, the company invests heavily in its people, plant, and long-term engineering strategy. As Engineering Shift Manager, you'll be responsible for: Leading and managing a shift-based team of multi-skilled engineers Ensuring effective delivery of planned preventative maintenance and rapid response to breakdowns Driving engineering performance to minimise downtime and maximise equipment reliability Providing hands-on technical support during complex or time-critical faults Promoting a strong health & safety culture across the engineering function Working closely with production and senior engineering leadership to support site targets and improvement initiatives The experience you'll bring to the team: Previous experience in a supervisory or shift management role within a manufacturing or FMCG environment A strong multi-skilled engineering background with solid mechanical and electrical fault-finding capability Proven ability to lead, motivate, and develop engineering teams A proactive and solutions-focused approach to maintenance and continuous improvement Recognised engineering qualifications (NVQ Level 3, HNC or equivalent) And this is what you'll get in return: £48,500 annual salary 4 on 4 off shift pattern (days & nights) Permanent position within a stable and growing business Company pension scheme Opportunity to work on a modern site with ongoing investment in equipment and people A leadership role with genuine scope to make an impact Are you up to the challenge? Please get in touch today with engineering specialist recruiter, Andy Jones. Please apply with a CV and feel free to include a cover letter outlining why you're perfect for the role. We also have a referral scheme, so if you know someone who would be a great fit, please get in touch. Please note, whilst we do our best to contact all candidates, due to the high number of applications we receive we cannot guarantee this for every role. If you have not heard anything from us within 7 days of applying, unfortunately you have been unsuccessful. Please keep an eye on our website for more opportunities.
Apr 21, 2026
Full time
Engineering Shift Supervisor Llansamlet 4 on 4 off - Days & Nights £48,500 Yolk Recruitment is supporting an established and highly respected manufacturing business in the Llansamlet area in their search for an Engineering Shift Manager to join their site-based engineering team on a permanent 4 on 4 off days and nights shift pattern. This is a fantastic opportunity to step into a leadership role within a business that places a strong emphasis on engineering excellence, reliability, and continuous improvement. Operating from a modern, high-volume manufacturing site, the company invests heavily in its people, plant, and long-term engineering strategy. As Engineering Shift Manager, you'll be responsible for: Leading and managing a shift-based team of multi-skilled engineers Ensuring effective delivery of planned preventative maintenance and rapid response to breakdowns Driving engineering performance to minimise downtime and maximise equipment reliability Providing hands-on technical support during complex or time-critical faults Promoting a strong health & safety culture across the engineering function Working closely with production and senior engineering leadership to support site targets and improvement initiatives The experience you'll bring to the team: Previous experience in a supervisory or shift management role within a manufacturing or FMCG environment A strong multi-skilled engineering background with solid mechanical and electrical fault-finding capability Proven ability to lead, motivate, and develop engineering teams A proactive and solutions-focused approach to maintenance and continuous improvement Recognised engineering qualifications (NVQ Level 3, HNC or equivalent) And this is what you'll get in return: £48,500 annual salary 4 on 4 off shift pattern (days & nights) Permanent position within a stable and growing business Company pension scheme Opportunity to work on a modern site with ongoing investment in equipment and people A leadership role with genuine scope to make an impact Are you up to the challenge? Please get in touch today with engineering specialist recruiter, Andy Jones. Please apply with a CV and feel free to include a cover letter outlining why you're perfect for the role. We also have a referral scheme, so if you know someone who would be a great fit, please get in touch. Please note, whilst we do our best to contact all candidates, due to the high number of applications we receive we cannot guarantee this for every role. If you have not heard anything from us within 7 days of applying, unfortunately you have been unsuccessful. Please keep an eye on our website for more opportunities.
Location; Leicestershire We are working with a leading UK food manufacturing business operating within a high-volume FMCG production environment , supplying well-known consumer products across the UK. The site is a large, highly automated facility with significant investment in both equipment and engineering capability, driving a strong focus on reliability, efficiency and continuous improvement. The engineering team is well established and structured, with clear processes in place and a proactive approach to maintenance. This is not a reactive environment; the business places strong emphasis on planned maintenance, root cause analysis and ongoing improvement of plant performance. This is a great opportunity for a Multi-Skilled Maintenance Engineer (Electrical Bias) to join a forward-thinking engineering team working a 4 on 4 off days and nights shift pattern . The business offers clear progression pathways, structured development plans and ongoing training to support long-term career growth. This role would suit an apprentice-trained Maintenance Engineer who is looking to move into a well-invested, process-driven FMCG environment , where engineering is valued and continuous improvement is at the core of operations. Responsibilities of a maintenance engineer: Carry out planned preventative maintenance across high-speed production and packaging equipment Respond to breakdowns quickly and effectively to minimise downtime Diagnose and repair faults across mechanical and electrical systems Support root cause analysis to eliminate repeat failures Work closely with production teams to ensure efficient machine performance Support continuous improvement and reliability projects across the site Ensure all maintenance activities are carried out in line with health and safety standards Maintain accurate records using CMMS systems Skills & qualifications of a maintenance engineer: NVQ Level 3 / C&G / BTEC in Engineering (Electrical bias preferred) Apprentice-trained Maintenance Engineer Experience within FMCG, food manufacturing or high-speed production environments Strong fault-finding ability across electrical and mechanical systems Understanding of PLC fault finding and SCADA systems (advantageous) Proactive approach to maintenance and continuous improvement Strong team working and communication skills Benefits of a maintenance engineer: Basic salary: £57,294.07 - Most of our engineers 4 on 4 off shift pattern (days & nights) Quarterly bonus incentive 23 days holiday (with option to buy/sell additional leave) Up to 15% employer pension contribution Private healthcare and wellbeing support Enhanced maternity, paternity and parental leave Structured career progression and development pathways Staff discount shop Cycle to work scheme Subsidised canteen Long service rewards If you feel this Maintenance Engineer role is right for you, please contact Dan Fergus at Maintech Recruitment on (phone number removed) for more information or click apply. Maintech Recruitment Engineering Great Careers Maintech Recruitment are an equal opportunities agency and welcome applications from all suitably qualified persons regardless of sex, religion, belief, political opinion, race, age, sexual orientation, marital status or disability. Please note by applying for this role your data will be processed in line with our privacy policy, available on our website.
Apr 21, 2026
Full time
Location; Leicestershire We are working with a leading UK food manufacturing business operating within a high-volume FMCG production environment , supplying well-known consumer products across the UK. The site is a large, highly automated facility with significant investment in both equipment and engineering capability, driving a strong focus on reliability, efficiency and continuous improvement. The engineering team is well established and structured, with clear processes in place and a proactive approach to maintenance. This is not a reactive environment; the business places strong emphasis on planned maintenance, root cause analysis and ongoing improvement of plant performance. This is a great opportunity for a Multi-Skilled Maintenance Engineer (Electrical Bias) to join a forward-thinking engineering team working a 4 on 4 off days and nights shift pattern . The business offers clear progression pathways, structured development plans and ongoing training to support long-term career growth. This role would suit an apprentice-trained Maintenance Engineer who is looking to move into a well-invested, process-driven FMCG environment , where engineering is valued and continuous improvement is at the core of operations. Responsibilities of a maintenance engineer: Carry out planned preventative maintenance across high-speed production and packaging equipment Respond to breakdowns quickly and effectively to minimise downtime Diagnose and repair faults across mechanical and electrical systems Support root cause analysis to eliminate repeat failures Work closely with production teams to ensure efficient machine performance Support continuous improvement and reliability projects across the site Ensure all maintenance activities are carried out in line with health and safety standards Maintain accurate records using CMMS systems Skills & qualifications of a maintenance engineer: NVQ Level 3 / C&G / BTEC in Engineering (Electrical bias preferred) Apprentice-trained Maintenance Engineer Experience within FMCG, food manufacturing or high-speed production environments Strong fault-finding ability across electrical and mechanical systems Understanding of PLC fault finding and SCADA systems (advantageous) Proactive approach to maintenance and continuous improvement Strong team working and communication skills Benefits of a maintenance engineer: Basic salary: £57,294.07 - Most of our engineers 4 on 4 off shift pattern (days & nights) Quarterly bonus incentive 23 days holiday (with option to buy/sell additional leave) Up to 15% employer pension contribution Private healthcare and wellbeing support Enhanced maternity, paternity and parental leave Structured career progression and development pathways Staff discount shop Cycle to work scheme Subsidised canteen Long service rewards If you feel this Maintenance Engineer role is right for you, please contact Dan Fergus at Maintech Recruitment on (phone number removed) for more information or click apply. Maintech Recruitment Engineering Great Careers Maintech Recruitment are an equal opportunities agency and welcome applications from all suitably qualified persons regardless of sex, religion, belief, political opinion, race, age, sexual orientation, marital status or disability. Please note by applying for this role your data will be processed in line with our privacy policy, available on our website.
Mobile Repair Technician (Commercial Gas) Location: Perth- Mobile role across large retail sites Salary: £42,000 + On-call retainer + Overtime - Company vehicle Join a leading facilities management team as a Mobile Repair Technician (Gas), responsible for keeping commercial gas systems safe, compliant, and operational across a portfolio of large retail environments.? The role You will travel between multiple sites within a defined region, carrying out servicing, repairs, and maintenance on a range of commercial gas appliances and systems. Working largely independently, you will plan your day, respond to reactive jobs, and complete planned preventative maintenance while delivering a high standard of customer service.? What you'll be doing Servicing and repairing commercial gas appliances and systems in large retail environments.? Carrying out gas testing, purging, and fault diagnosis to identify and rectify issues safely and efficiently.? Completing planned preventative maintenance and reactive repair works in line with SLA and compliance standards.? Ensuring all work complies with current gas safety regulations and company procedures.? Producing accurate service reports, completion paperwork, and statutory certification.? Supporting wider FM tasks where required as part of a multi-skilled regional team.? Participating in a structured regional on-call rota to support out-of-hours requirements.? What we're looking for Proven experience working with commercial gas systems in a similar mobile or site-based role.? Valid Commercial Gas qualifications (e.g. CODNCO1, CIGA1, CORT1, TPCP1/1A or equivalent).? Strong competence in gas testing, purging, fault-finding, and problem-solving.? Ability to work independently, manage your own workload, and communicate clearly with clients.? Full UK driving licence.? Desirable F-Gas qualification - advantageous but not essential.? Multi-trade experience (AC, electrical, or fabric) within an FM environment.? Background in facilities management or retail maintenance.? Willingness to undertake further training and upskilling.? What's on offer Structured on-call rota with retainer and enhanced overtime rates.? Seasonal call-out demand offering additional earning potential.? Company vehicle provided, fitted with safety monitoring equipment.? Support for further qualifications and upskilling where appropriate (subject to experience and business need).? How to apply If you're an experienced Commercial Gas Engineer or Mobile Repair Technician looking for a stable role with variety, autonomy, and long-term development, we'd like to hear from you. Please apply with your CV or contact Mat Holliday for a confidential discussion.? INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
Apr 21, 2026
Full time
Mobile Repair Technician (Commercial Gas) Location: Perth- Mobile role across large retail sites Salary: £42,000 + On-call retainer + Overtime - Company vehicle Join a leading facilities management team as a Mobile Repair Technician (Gas), responsible for keeping commercial gas systems safe, compliant, and operational across a portfolio of large retail environments.? The role You will travel between multiple sites within a defined region, carrying out servicing, repairs, and maintenance on a range of commercial gas appliances and systems. Working largely independently, you will plan your day, respond to reactive jobs, and complete planned preventative maintenance while delivering a high standard of customer service.? What you'll be doing Servicing and repairing commercial gas appliances and systems in large retail environments.? Carrying out gas testing, purging, and fault diagnosis to identify and rectify issues safely and efficiently.? Completing planned preventative maintenance and reactive repair works in line with SLA and compliance standards.? Ensuring all work complies with current gas safety regulations and company procedures.? Producing accurate service reports, completion paperwork, and statutory certification.? Supporting wider FM tasks where required as part of a multi-skilled regional team.? Participating in a structured regional on-call rota to support out-of-hours requirements.? What we're looking for Proven experience working with commercial gas systems in a similar mobile or site-based role.? Valid Commercial Gas qualifications (e.g. CODNCO1, CIGA1, CORT1, TPCP1/1A or equivalent).? Strong competence in gas testing, purging, fault-finding, and problem-solving.? Ability to work independently, manage your own workload, and communicate clearly with clients.? Full UK driving licence.? Desirable F-Gas qualification - advantageous but not essential.? Multi-trade experience (AC, electrical, or fabric) within an FM environment.? Background in facilities management or retail maintenance.? Willingness to undertake further training and upskilling.? What's on offer Structured on-call rota with retainer and enhanced overtime rates.? Seasonal call-out demand offering additional earning potential.? Company vehicle provided, fitted with safety monitoring equipment.? Support for further qualifications and upskilling where appropriate (subject to experience and business need).? How to apply If you're an experienced Commercial Gas Engineer or Mobile Repair Technician looking for a stable role with variety, autonomy, and long-term development, we'd like to hear from you. Please apply with your CV or contact Mat Holliday for a confidential discussion.? INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
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.
Apr 21, 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.
Fortinet Network Engineer Derby - On-site Salary £50,000 - £55,000 per annum Must be eligible for SC Clearance We are looking for a skilled Network Engineer to lead the hands-on delivery and implementation of network solutions, with a particular emphasis on Fortinet technologies. In this role, you will operate as the sole Network Engineer, working closely with an experienced Network Architect. This position is ideal for someone who enjoys autonomy and ownership in execution, without carrying full architectural responsibility. Key Skills & Responsibilities: Hands-on experience with FortiGate, FortiSwitch, FortiAP, Fortinet SD-WAN, FortiLink, and MCLAG Skilled in deploying and managing FortiManager and FortiAnalyzer across multi-site environments Experience with FortiGate HA, firmware upgrades, and life cycle management Strong understanding of TCP/IP, VLANs, OSPF/BGP, NAT, and VPN technologies Experience with site-to-site and remote access VPNs Proven delivery of greenfield network deployments Able to work from Low-Level Designs and provide constructive feedback Capable of producing clear, accurate as-built documentation Strong troubleshooting skills in live production environments Able to work independently and take full ownership of delivery Full UK driving licence and access to a vehicle as site visits required Interested? Please share your CV with Emma Siwicki at Harvey Nash.
Apr 21, 2026
Full time
Fortinet Network Engineer Derby - On-site Salary £50,000 - £55,000 per annum Must be eligible for SC Clearance We are looking for a skilled Network Engineer to lead the hands-on delivery and implementation of network solutions, with a particular emphasis on Fortinet technologies. In this role, you will operate as the sole Network Engineer, working closely with an experienced Network Architect. This position is ideal for someone who enjoys autonomy and ownership in execution, without carrying full architectural responsibility. Key Skills & Responsibilities: Hands-on experience with FortiGate, FortiSwitch, FortiAP, Fortinet SD-WAN, FortiLink, and MCLAG Skilled in deploying and managing FortiManager and FortiAnalyzer across multi-site environments Experience with FortiGate HA, firmware upgrades, and life cycle management Strong understanding of TCP/IP, VLANs, OSPF/BGP, NAT, and VPN technologies Experience with site-to-site and remote access VPNs Proven delivery of greenfield network deployments Able to work from Low-Level Designs and provide constructive feedback Capable of producing clear, accurate as-built documentation Strong troubleshooting skills in live production environments Able to work independently and take full ownership of delivery Full UK driving licence and access to a vehicle as site visits required Interested? Please share your CV with Emma Siwicki at Harvey Nash.
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.
Apr 21, 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.
Apr 21, 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.
Apr 21, 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.
Apr 21, 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.
Apr 21, 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.
Apr 21, 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.
Apr 21, 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.
. Mechatronics Engineer - Test Systems Gloucester On Site Skills: PLCs, Omron, Electrical, HMIs, Controls, Mechanical, Ladder Logic, Systems Integration, Maintenance, Installation, Wiring Regs, Multi-skilled, Calibration, Transducers, Hydraulics, Servos, Control Panels Looking after the people who make Safran great is our priority click apply for full job details
Apr 21, 2026
Full time
. Mechatronics Engineer - Test Systems Gloucester On Site Skills: PLCs, Omron, Electrical, HMIs, Controls, Mechanical, Ladder Logic, Systems Integration, Maintenance, Installation, Wiring Regs, Multi-skilled, Calibration, Transducers, Hydraulics, Servos, Control Panels Looking after the people who make Safran great is our priority click apply for full job details
months contract inside IR35 3 days in office in London Daily rate £300 We are seeking a highly skilled Unified Communications & Audio Visual Engineer to design, support, and enhance enterprise Unified Communications (UC) and Audio Visual (AV) platforms across the business. This role blends deep technical UC engineering capability with hands-on AV and meeting support, ensuring reliable, secure, and high-quality collaboration experiences for end users, executives, and trading environments. The successful candidate will support and evolve platforms including Cisco CUCM, WebEx (Dedicated Instance), Microsoft Teams, voice recording, trader turret systems, and enterprise AV meeting room technologies, while providing responsive meeting and event support. This role requires strong technical expertise, excellent communication skills, and a customer-focused mindset, operating within a global, distributed team. Key Responsibilities Unified Communications Engineering Design, configure, support, and enhance the global UC environment, ensuring high availability, performance, and security. Administer and troubleshoot Cisco Unified Communications Manager (CUCM), including dial plans, call routing, SIP integrations, upgrades, and incident resolution. Support WebEx Dedicated Instance, Microsoft Teams, and related integrations within the wider UC framework. Audio Visual & Meeting Support Provide first-line and second-line support for scheduled and on-demand meeting requests and AV incidents. Prepare, test, and support meeting rooms, including video conferencing, audio systems, and room control platforms. Coordinate and validate multi-site meetings, test calls, and complex conferencing scenarios. Provide hands-on support for executive meetings, global town halls, departmental events, and internal events. Operational & Documentation Responsibilities Create and maintain high-quality design documentation, operational procedures, runbooks, test plans, and change documentation. Operate within an Agile delivery environment, supporting continuous improvement. Participate in on-call rotas and provide out-of-hours or weekend support where required. Key Skills & Experience Technical Skills Extensive experience with Cisco CUCM, including dial plans, call routing, troubleshooting, and upgrades. Strong experience with Microsoft Teams (configuration, troubleshooting, and integration). Experience with WebEx Dedicated Instance and UC platform integration. Knowledge of voice recording systems (eg Redbox) and regulatory requirements. Experience with IPC Dealerboards or similar trader turret systems. Knowledge of SIP, CUBEs, VoIP, and UC networking concepts. Experience supporting AV and meeting room technologies, including Crestron and enterprise conferencing systems. Solid understanding of network protocols and basic desktop troubleshooting. Professional & Personal Skills Strong problem-solving skills with excellent attention to detail. Confident communicator, able to work effectively with end users, executives, and technical teams. Customer-focused with a friendly, professional approach. Ability to multitask and prioritize in a fast-paced environment. High sense of ownership, collaboration, and accountability. Willingness and ability to physically handle AV equipment (lifting, cabling, staging as required). Qualifications & Background Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience. Minimum 2+ years' experience in Unified Communications, AV support, or collaboration technologies. Industry certifications are desirable: CCNP Collaboration Microsoft Teams Certified AV or UC vendor certifications Working knowledge of Windows 11, Microsoft Office, and Outlook.
Apr 21, 2026
Contractor
months contract inside IR35 3 days in office in London Daily rate £300 We are seeking a highly skilled Unified Communications & Audio Visual Engineer to design, support, and enhance enterprise Unified Communications (UC) and Audio Visual (AV) platforms across the business. This role blends deep technical UC engineering capability with hands-on AV and meeting support, ensuring reliable, secure, and high-quality collaboration experiences for end users, executives, and trading environments. The successful candidate will support and evolve platforms including Cisco CUCM, WebEx (Dedicated Instance), Microsoft Teams, voice recording, trader turret systems, and enterprise AV meeting room technologies, while providing responsive meeting and event support. This role requires strong technical expertise, excellent communication skills, and a customer-focused mindset, operating within a global, distributed team. Key Responsibilities Unified Communications Engineering Design, configure, support, and enhance the global UC environment, ensuring high availability, performance, and security. Administer and troubleshoot Cisco Unified Communications Manager (CUCM), including dial plans, call routing, SIP integrations, upgrades, and incident resolution. Support WebEx Dedicated Instance, Microsoft Teams, and related integrations within the wider UC framework. Audio Visual & Meeting Support Provide first-line and second-line support for scheduled and on-demand meeting requests and AV incidents. Prepare, test, and support meeting rooms, including video conferencing, audio systems, and room control platforms. Coordinate and validate multi-site meetings, test calls, and complex conferencing scenarios. Provide hands-on support for executive meetings, global town halls, departmental events, and internal events. Operational & Documentation Responsibilities Create and maintain high-quality design documentation, operational procedures, runbooks, test plans, and change documentation. Operate within an Agile delivery environment, supporting continuous improvement. Participate in on-call rotas and provide out-of-hours or weekend support where required. Key Skills & Experience Technical Skills Extensive experience with Cisco CUCM, including dial plans, call routing, troubleshooting, and upgrades. Strong experience with Microsoft Teams (configuration, troubleshooting, and integration). Experience with WebEx Dedicated Instance and UC platform integration. Knowledge of voice recording systems (eg Redbox) and regulatory requirements. Experience with IPC Dealerboards or similar trader turret systems. Knowledge of SIP, CUBEs, VoIP, and UC networking concepts. Experience supporting AV and meeting room technologies, including Crestron and enterprise conferencing systems. Solid understanding of network protocols and basic desktop troubleshooting. Professional & Personal Skills Strong problem-solving skills with excellent attention to detail. Confident communicator, able to work effectively with end users, executives, and technical teams. Customer-focused with a friendly, professional approach. Ability to multitask and prioritize in a fast-paced environment. High sense of ownership, collaboration, and accountability. Willingness and ability to physically handle AV equipment (lifting, cabling, staging as required). Qualifications & Background Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience. Minimum 2+ years' experience in Unified Communications, AV support, or collaboration technologies. Industry certifications are desirable: CCNP Collaboration Microsoft Teams Certified AV or UC vendor certifications Working knowledge of Windows 11, Microsoft Office, and Outlook.
