Job Title: DV Cleared Technical Author Location: Cheltenham Duration: 6 months with likely extension Rate: Up to 650 per day via an approved umbrella company Must be willing and able to go through highest security clearance process Our client, a leading organisation in the Defence sector, is hiring an experienced Technical Author. This is a unique opportunity to contribute to critical systems and operational processes within a secure environment. What you'll be doing: Producing, maintaining, and managing high-quality technical documentation for classified systems Translating complex technical concepts into clear, concise, and accurate written materials suitable for secure audiences Developing system documentation including architecture, design documents, user guides, operational manuals, and SOPs Supporting accreditation, assurance, and compliance documentation Collaborating closely with engineers, architects, cyber specialists, and stakeholders to validate content Ensuring all documentation aligns with security policies, governance frameworks, and information assurance standards Managing document control, versioning, and configuration throughout system lifecycles Preparing materials for both technical and non-technical audiences What you'll bring: Proven experience as a Technical Author or Documentation Specialist in highly secure or classified environments Strong ability to document complex technical systems clearly and accurately Experience producing documentation for IT, cyber, data, or engineering systems Excellent written communication skills with keen attention to detail Familiarity with formal documentation standards and structured authoring methods Ability to work collaboratively with technical teams and security professionals Strong understanding of information security and handling requirements Desirable skills: Background supporting UK defence, intelligence, or national security projects Experience documenting cyber security, data platforms, or software-based systems Familiarity with accreditation, risk management, or assurance documentation Experience with document management tools and markup languages such as Confluence, SharePoint, Markdown, or XML This role offers a chance to work on vital projects within a dynamic, secure environment. If you hold the necessary clearance and are passionate about producing impactful technical documentation, we encourage you to apply today!
May 05, 2026
Contractor
Job Title: DV Cleared Technical Author Location: Cheltenham Duration: 6 months with likely extension Rate: Up to 650 per day via an approved umbrella company Must be willing and able to go through highest security clearance process Our client, a leading organisation in the Defence sector, is hiring an experienced Technical Author. This is a unique opportunity to contribute to critical systems and operational processes within a secure environment. What you'll be doing: Producing, maintaining, and managing high-quality technical documentation for classified systems Translating complex technical concepts into clear, concise, and accurate written materials suitable for secure audiences Developing system documentation including architecture, design documents, user guides, operational manuals, and SOPs Supporting accreditation, assurance, and compliance documentation Collaborating closely with engineers, architects, cyber specialists, and stakeholders to validate content Ensuring all documentation aligns with security policies, governance frameworks, and information assurance standards Managing document control, versioning, and configuration throughout system lifecycles Preparing materials for both technical and non-technical audiences What you'll bring: Proven experience as a Technical Author or Documentation Specialist in highly secure or classified environments Strong ability to document complex technical systems clearly and accurately Experience producing documentation for IT, cyber, data, or engineering systems Excellent written communication skills with keen attention to detail Familiarity with formal documentation standards and structured authoring methods Ability to work collaboratively with technical teams and security professionals Strong understanding of information security and handling requirements Desirable skills: Background supporting UK defence, intelligence, or national security projects Experience documenting cyber security, data platforms, or software-based systems Familiarity with accreditation, risk management, or assurance documentation Experience with document management tools and markup languages such as Confluence, SharePoint, Markdown, or XML This role offers a chance to work on vital projects within a dynamic, secure environment. If you hold the necessary clearance and are passionate about producing impactful technical documentation, we encourage you to apply today!
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
A manufacturing and engineering client of ours in the Ipswich area are recruiting an Office Administrator to join their team ASAP. This is a full-time temporary position for at least a month working Monday - Thursday 8.15am - 5.00pm and Friday 8.15am - 1.00pm, paying up to 12.71 per hour depending on experience. Your key duties in this Office Administrator role will include but are not limited to: Providing administrative support to the purchasing team Processing sales invoices Checking data accuracy, including part numbers General office duties including filing and photocopying Skills and Experience required to be considered for this role: Previous experience in administration (ideally sales, purchasing or supply chain) Strong attention to detail and accuracy Ability to work independently in a quiet, focused environment Available straight away for at least 1 month If you feel like you meet the above criteria and would like to be considered for this Office Administrator position, please apply with your CV and Laura will be in touch.
May 05, 2026
Seasonal
A manufacturing and engineering client of ours in the Ipswich area are recruiting an Office Administrator to join their team ASAP. This is a full-time temporary position for at least a month working Monday - Thursday 8.15am - 5.00pm and Friday 8.15am - 1.00pm, paying up to 12.71 per hour depending on experience. Your key duties in this Office Administrator role will include but are not limited to: Providing administrative support to the purchasing team Processing sales invoices Checking data accuracy, including part numbers General office duties including filing and photocopying Skills and Experience required to be considered for this role: Previous experience in administration (ideally sales, purchasing or supply chain) Strong attention to detail and accuracy Ability to work independently in a quiet, focused environment Available straight away for at least 1 month If you feel like you meet the above criteria and would like to be considered for this Office Administrator position, please apply with your CV and Laura will be in touch.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Are you an Electrical Maintenance Engineer that is looking to join one of the country's leading organisations in London. Are you looking for a company that can offer training and a variety of progression paths for your own career development? Duties: PPMs & Reactive maintenance Single and Three Phase Power, Motors, Generators (on/off load tests), UPS, LV/HV switching, Shutdowns, Emergency Lighting, Fire Alarm Test, AHUs, FCUs, VAVs, CRAC units, Sprinkler Systems, Pumps BMS Operation Organising subcontractors Quotations Health & Safety Logbooks Risk assessments Permits to work Requirements: City and Guilds/ NVQ electrical qualification or equivalent Building Services Maintenance experience Career driven and motivated Polite and personable Benefits: £43,000 - £47,000 The opportunity for career progression, with many layers of leadership within the organisation. Monday to Friday 8-4 27 days holiday + Bank Holidays Pension package Overtime
May 05, 2026
Full time
Are you an Electrical Maintenance Engineer that is looking to join one of the country's leading organisations in London. Are you looking for a company that can offer training and a variety of progression paths for your own career development? Duties: PPMs & Reactive maintenance Single and Three Phase Power, Motors, Generators (on/off load tests), UPS, LV/HV switching, Shutdowns, Emergency Lighting, Fire Alarm Test, AHUs, FCUs, VAVs, CRAC units, Sprinkler Systems, Pumps BMS Operation Organising subcontractors Quotations Health & Safety Logbooks Risk assessments Permits to work Requirements: City and Guilds/ NVQ electrical qualification or equivalent Building Services Maintenance experience Career driven and motivated Polite and personable Benefits: £43,000 - £47,000 The opportunity for career progression, with many layers of leadership within the organisation. Monday to Friday 8-4 27 days holiday + Bank Holidays Pension package Overtime
Are you looking for a role that perfectly balances flexibility, responsibility, and variety? This is your chance to join a forward-thinking company as a Part-Time Accoutns assistant with family-friendly hours and a competitive hourly rate of £17, this opportunity is ideal for someone who thrives in a dynamic, supportive environment and enjoys a mix of administrative and purchasing tasks. What You Will Do: - Manage purchasing activities, including sourcing and ordering materials to keep operations running smoothly. - Raise purchase orders (POs) and maintain accurate records to ensure seamless transactions. - Reconcile transactions using Xero accounting software and liaise with external accountants when required. - Support general office management tasks, such as ordering office supplies and maintaining a well-stocked kitchen area. - Organise and label the stockroom to ensure efficiency and orderliness. - Act as a key point of contact for suppliers, fostering strong professional relationships. What You Will Bring: - Proven experience in an administrative, purchasing, or office support role. - Familiarity with Xero or similar accounting software is highly desirable. - Strong organisational skills and a keen eye for detail to juggle multiple tasks effectively. - Excellent communication skills for liaising with suppliers and external accountants. - A proactive, hands-on approach to office upkeep and problem-solving. In this role, you will play a vital part in the company's day-to-day operations, contributing to both its efficiency and success. Your ability to manage purchasing processes and maintain an organised office environment will directly support the company's goals of delivering excellence and innovation in its field. Location: This role is based in the picturesque county of Herefordshire, offering a peaceful yet accessible location for work. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
May 05, 2026
Full time
Are you looking for a role that perfectly balances flexibility, responsibility, and variety? This is your chance to join a forward-thinking company as a Part-Time Accoutns assistant with family-friendly hours and a competitive hourly rate of £17, this opportunity is ideal for someone who thrives in a dynamic, supportive environment and enjoys a mix of administrative and purchasing tasks. What You Will Do: - Manage purchasing activities, including sourcing and ordering materials to keep operations running smoothly. - Raise purchase orders (POs) and maintain accurate records to ensure seamless transactions. - Reconcile transactions using Xero accounting software and liaise with external accountants when required. - Support general office management tasks, such as ordering office supplies and maintaining a well-stocked kitchen area. - Organise and label the stockroom to ensure efficiency and orderliness. - Act as a key point of contact for suppliers, fostering strong professional relationships. What You Will Bring: - Proven experience in an administrative, purchasing, or office support role. - Familiarity with Xero or similar accounting software is highly desirable. - Strong organisational skills and a keen eye for detail to juggle multiple tasks effectively. - Excellent communication skills for liaising with suppliers and external accountants. - A proactive, hands-on approach to office upkeep and problem-solving. In this role, you will play a vital part in the company's day-to-day operations, contributing to both its efficiency and success. Your ability to manage purchasing processes and maintain an organised office environment will directly support the company's goals of delivering excellence and innovation in its field. Location: This role is based in the picturesque county of Herefordshire, offering a peaceful yet accessible location for work. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
CNC Miller setter/operator is responsible for setting up, operating CNC horizontal machining centres to produce precision components that meet engineering specifications, quality standards, and production schedules. This role requires strong machining knowledge, attention to detail, and the ability to work independently as well as part of a team in a fast-paced manufacturing environment click apply for full job details
May 05, 2026
Full time
CNC Miller setter/operator is responsible for setting up, operating CNC horizontal machining centres to produce precision components that meet engineering specifications, quality standards, and production schedules. This role requires strong machining knowledge, attention to detail, and the ability to work independently as well as part of a team in a fast-paced manufacturing environment click apply for full job details
Job PurposeThe Technical Administrator provides high-quality administrative and technical support to surveyors and project teams within the consultancy. The role is essential in ensuring accurate documentation, smooth project coordination, and effective communication with clients, contractors, and internal stakeholders. Key Responsibilities Technical & Project Support Prepare, format, and issue technical reports, specifications, schedules, and drawings (as provided by surveyors). Assist with document control, ensuring all project documentation is accurate, up to date, and stored in line with company procedures. Maintain project trackers, fee logs, and key deadlines. Support tender submissions, including collation of technical information and compliance documentation. Assist with processing instructions, variations, and fee proposals. Administrative Duties Provide day-to-day administrative support to the surveying team. Manage correspondence, including emails, reports, and formal letters to clients and external parties. Arrange meetings, site visits, and inspections, including diary management. Take accurate meeting notes and distribute actions where required. Support invoicing processes, including compiling backup documentation and liaising with finance. Systems & Compliance Use internal systems for document management, timesheets, and project records. Ensure documentation complies with company standards, quality procedures, and industry regulations. Support health & safety and quality assurance processes (e.g. ISO 9001, 14001, 45001 where applicable). Client & Team Liaison Act as a first point of contact for administrative queries from clients and consultants. Build effective working relationships with surveyors, project managers, and support teams. Coordinate information between internal teams and external stakeholders such as contractors and local authorities. Skills & Competencies Essential Strong administrative experience within a professional services, construction, or property environment. Excellent written and verbal communication skills. High level of accuracy and attention to detail. Strong organisational skills with the ability to manage multiple priorities. Confident user of Microsoft Office (Word, Excel, Outlook, PowerPoint). Ability to handle confidential information professionally. Desirable Experience working within a surveying, engineering, construction, or built environment consultancy. Familiarity with technical reports, drawings, or property-related documentation. Experience using document management systems and CRM/project management software. Understanding of construction or surveying terminology. Qualifications & Experience GCSEs (or equivalent), including English and Maths - essential. Business administration, construction-related qualification, or equivalent experience - desirable. Minimum of 2 years' experience in an administrative or technical support role - desirable. Personal Attributes Proactive and self-motivated. Professional and client-focused. Comfortable working independently and as part of a team. Adaptable and able to respond positively to changing priorities. What We Offer Competitive salary dependent on experience. Hybrid and flexible working options. Career development and training opportunities within the consultancy. Supportive team environment and exposure to a wide range of surveying disciplines. If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
May 05, 2026
Full time
Job PurposeThe Technical Administrator provides high-quality administrative and technical support to surveyors and project teams within the consultancy. The role is essential in ensuring accurate documentation, smooth project coordination, and effective communication with clients, contractors, and internal stakeholders. Key Responsibilities Technical & Project Support Prepare, format, and issue technical reports, specifications, schedules, and drawings (as provided by surveyors). Assist with document control, ensuring all project documentation is accurate, up to date, and stored in line with company procedures. Maintain project trackers, fee logs, and key deadlines. Support tender submissions, including collation of technical information and compliance documentation. Assist with processing instructions, variations, and fee proposals. Administrative Duties Provide day-to-day administrative support to the surveying team. Manage correspondence, including emails, reports, and formal letters to clients and external parties. Arrange meetings, site visits, and inspections, including diary management. Take accurate meeting notes and distribute actions where required. Support invoicing processes, including compiling backup documentation and liaising with finance. Systems & Compliance Use internal systems for document management, timesheets, and project records. Ensure documentation complies with company standards, quality procedures, and industry regulations. Support health & safety and quality assurance processes (e.g. ISO 9001, 14001, 45001 where applicable). Client & Team Liaison Act as a first point of contact for administrative queries from clients and consultants. Build effective working relationships with surveyors, project managers, and support teams. Coordinate information between internal teams and external stakeholders such as contractors and local authorities. Skills & Competencies Essential Strong administrative experience within a professional services, construction, or property environment. Excellent written and verbal communication skills. High level of accuracy and attention to detail. Strong organisational skills with the ability to manage multiple priorities. Confident user of Microsoft Office (Word, Excel, Outlook, PowerPoint). Ability to handle confidential information professionally. Desirable Experience working within a surveying, engineering, construction, or built environment consultancy. Familiarity with technical reports, drawings, or property-related documentation. Experience using document management systems and CRM/project management software. Understanding of construction or surveying terminology. Qualifications & Experience GCSEs (or equivalent), including English and Maths - essential. Business administration, construction-related qualification, or equivalent experience - desirable. Minimum of 2 years' experience in an administrative or technical support role - desirable. Personal Attributes Proactive and self-motivated. Professional and client-focused. Comfortable working independently and as part of a team. Adaptable and able to respond positively to changing priorities. What We Offer Competitive salary dependent on experience. Hybrid and flexible working options. Career development and training opportunities within the consultancy. Supportive team environment and exposure to a wide range of surveying disciplines. If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Description As an Electrical Design Engineer, you will play a key role in the design process, from site surveys through to the production of detailed drawings, while developing your technical expertise and working closely with experienced engineers and project teams. Key Responsibilities Manage the design process with the client click apply for full job details
May 05, 2026
Full time
Description As an Electrical Design Engineer, you will play a key role in the design process, from site surveys through to the production of detailed drawings, while developing your technical expertise and working closely with experienced engineers and project teams. Key Responsibilities Manage the design process with the client click apply for full job details
This is a great opportunity for a Mechanical Maintenance Engineer to join a well-know organisation based in London. The mechanically qualified engineer will be working Monday to Friday 8am to 4pm. Duties PPM (Planned preventative maintenance) & Reactive maintenance AHUs FCUs Pumps - Bearings, Mechanical Seals Water Treatment (Tap Tests, Dosing, Cooling Tower Checks, etc). Cooling Towers Tap Temperatures Chilled Water Systems Plumbing Generators Pressurisation units Generators BMS Operation CRAC units Motors Requirements Mechanically qualified to City & Guilds Level 3 or NVQ (or equivalent) Critical site experience preferred Apprentice trained - desirable Building Services Maintenance experience Very Client facing Package £43,000 - 47,000 Monday to Friday 8-4 27 days holiday + Bank holidays Pension package Overtime Training Great opportunity to progress internally If you would like to join a widely reputable building services provider with an impressive staff retention rate, please apply now!
May 05, 2026
Full time
This is a great opportunity for a Mechanical Maintenance Engineer to join a well-know organisation based in London. The mechanically qualified engineer will be working Monday to Friday 8am to 4pm. Duties PPM (Planned preventative maintenance) & Reactive maintenance AHUs FCUs Pumps - Bearings, Mechanical Seals Water Treatment (Tap Tests, Dosing, Cooling Tower Checks, etc). Cooling Towers Tap Temperatures Chilled Water Systems Plumbing Generators Pressurisation units Generators BMS Operation CRAC units Motors Requirements Mechanically qualified to City & Guilds Level 3 or NVQ (or equivalent) Critical site experience preferred Apprentice trained - desirable Building Services Maintenance experience Very Client facing Package £43,000 - 47,000 Monday to Friday 8-4 27 days holiday + Bank holidays Pension package Overtime Training Great opportunity to progress internally If you would like to join a widely reputable building services provider with an impressive staff retention rate, please apply now!
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Job Title: Principal Town Planner Location: Birmingham, UK Job Type: Full-Time, Permanent About the Role: I am working with one of my clients, a leading engineering and planning consultancy, who are looking for an Principal Town Planner to join their dynamic Town Planning Team. As one of the UK's leading planning consultancies, they are at the forefront of sustainable infrastructure and development, with a focus on Net Zero, ESG, and Biodiversity Net Gain. You'll work on a wide range of exciting projects, including rail, energy, water, and housing, for major clients such as Network Rail, HS2, National Highways, Yorkshire Water, and Homes England. In this role, you will support the planning and delivery of high-profile projects, collaborate with multidisciplinary teams, and contribute to the growth of our presence in key sectors like renewables and energy transformation. Key Responsibilities: Lead planning activities on large infrastructure projects. Manage planning applications and regulatory submissions. Collaborate with multidisciplinary teams, including transport, energy, and engineering experts. Engage with clients, local authorities, and stakeholders. Contribute to the delivery of sustainable development projects, such as Net Zero and Biodiversity Net Gain. Key Requirements: Degree in Town Planning or related field. RTPI membership. Minimum 6 years' experience in planning, ideally with infrastructure projects. Knowledge of UK planning legislation and sustainability practices. Strong communication and project management skills. Why Join Us? Work on exciting, high-impact projects in sustainability and infrastructure. Develop your career with a leading consultancy at the cutting edge of planning. Competitive salary and benefits package. If you are interested, please do pop me a call on (phone number removed) or send your CV across to (url removed) reference - 66191
May 05, 2026
Full time
Job Title: Principal Town Planner Location: Birmingham, UK Job Type: Full-Time, Permanent About the Role: I am working with one of my clients, a leading engineering and planning consultancy, who are looking for an Principal Town Planner to join their dynamic Town Planning Team. As one of the UK's leading planning consultancies, they are at the forefront of sustainable infrastructure and development, with a focus on Net Zero, ESG, and Biodiversity Net Gain. You'll work on a wide range of exciting projects, including rail, energy, water, and housing, for major clients such as Network Rail, HS2, National Highways, Yorkshire Water, and Homes England. In this role, you will support the planning and delivery of high-profile projects, collaborate with multidisciplinary teams, and contribute to the growth of our presence in key sectors like renewables and energy transformation. Key Responsibilities: Lead planning activities on large infrastructure projects. Manage planning applications and regulatory submissions. Collaborate with multidisciplinary teams, including transport, energy, and engineering experts. Engage with clients, local authorities, and stakeholders. Contribute to the delivery of sustainable development projects, such as Net Zero and Biodiversity Net Gain. Key Requirements: Degree in Town Planning or related field. RTPI membership. Minimum 6 years' experience in planning, ideally with infrastructure projects. Knowledge of UK planning legislation and sustainability practices. Strong communication and project management skills. Why Join Us? Work on exciting, high-impact projects in sustainability and infrastructure. Develop your career with a leading consultancy at the cutting edge of planning. Competitive salary and benefits package. If you are interested, please do pop me a call on (phone number removed) or send your CV across to (url removed) reference - 66191
Imperial Recruitment is recruiting on behalf of a well-established engineering business. This is an excellent opportunity for an Electrically Biased Maintenance Technician to join a forward-thinking organisation where reliability, safety, and continuous improvement are key priorities. This role offers long-term stability, varied technical challenges, and the opportunity to play a vital role in maintaining production and engineering assets within a high-performance environment. Key Duties & Responsibilities Carry out all breakdown repairs to production equipment, plant, and services as required, not limited to electrical breakdowns Complete TPMs and ensure all documentation is accurately maintained Maintain daily records of completed and outstanding maintenance tasks Monitor stores stock levels and usage Operate to best-practice standards, maintaining high levels of health and safety, hygiene, and quality Support, progress, and complete on-site project work Contribute to improving equipment reliability and overall site efficiency Key Skills & Experience Required Minimum of 3 years' experience within a high-volume manufacturing or engineering environment Ability to read and interpret mechanical and electrical schematic drawings Experience using PPM or CMMS systems Ability to work on own initiative Strong focus on continuous improvement and efficiency Effective team player with excellent communication skills Flexible approach, including willingness to work occasional overtime Advantageous (But Not Essential) Proven electrical skills with experience in plastics, injection, extrusion, or moulding environments 18th Edition qualification preferred but not essential PAT testing experience Benefits Basic salary up to £50,000 Pension Scheme Shift Rotation week 1: Monday, Tuesday 7AM until 7PM then Wednesday Thursday night 7PM until 7AM week 2: Monday, Tuesday night 7PM until 7AM then Thursday, Friday 7AM until 7PM Why Apply? This is an excellent opportunity to join a stable and reputable engineering business, offering long-term prospects and varied technical work within a professional maintenance team. Imperial Recruitment is acting as an employment agency on behalf of our client. Imperial Recruitment is an equal opportunities employer and does not discriminate against any individual based on age, disability, gender, race, religion, sexual orientation, or any other protected characteristic.
May 05, 2026
Full time
Imperial Recruitment is recruiting on behalf of a well-established engineering business. This is an excellent opportunity for an Electrically Biased Maintenance Technician to join a forward-thinking organisation where reliability, safety, and continuous improvement are key priorities. This role offers long-term stability, varied technical challenges, and the opportunity to play a vital role in maintaining production and engineering assets within a high-performance environment. Key Duties & Responsibilities Carry out all breakdown repairs to production equipment, plant, and services as required, not limited to electrical breakdowns Complete TPMs and ensure all documentation is accurately maintained Maintain daily records of completed and outstanding maintenance tasks Monitor stores stock levels and usage Operate to best-practice standards, maintaining high levels of health and safety, hygiene, and quality Support, progress, and complete on-site project work Contribute to improving equipment reliability and overall site efficiency Key Skills & Experience Required Minimum of 3 years' experience within a high-volume manufacturing or engineering environment Ability to read and interpret mechanical and electrical schematic drawings Experience using PPM or CMMS systems Ability to work on own initiative Strong focus on continuous improvement and efficiency Effective team player with excellent communication skills Flexible approach, including willingness to work occasional overtime Advantageous (But Not Essential) Proven electrical skills with experience in plastics, injection, extrusion, or moulding environments 18th Edition qualification preferred but not essential PAT testing experience Benefits Basic salary up to £50,000 Pension Scheme Shift Rotation week 1: Monday, Tuesday 7AM until 7PM then Wednesday Thursday night 7PM until 7AM week 2: Monday, Tuesday night 7PM until 7AM then Thursday, Friday 7AM until 7PM Why Apply? This is an excellent opportunity to join a stable and reputable engineering business, offering long-term prospects and varied technical work within a professional maintenance team. Imperial Recruitment is acting as an employment agency on behalf of our client. Imperial Recruitment is an equal opportunities employer and does not discriminate against any individual based on age, disability, gender, race, religion, sexual orientation, or any other protected characteristic.
The role We are looking for a motivated and skilled Trait Design Scientist, ideally with a background in photosynthesis research, to drive our R&D initiatives. At Wild, we are building proprietary and "new-to-science" datasets that we use to discover new yield traits. You will play a key role in analysing these datasets and driving the future direction of data collection to accelerate this discovery work. Location We're headquartered in Milton Park, a business and technology park in Oxfordshire. This is an on-site role, though we offer flexibility and hybrid working when possible. Job requirements A PhD in a relevant discipline, e.g. Plant Science, Photosynthesis, Plant Physiology, Bioinformatics. Proven experience delivering complex scientific research projects and driving their strategic direction. Deep theoretical and practical understanding of photosynthesis; you are comfortable interpreting complex physiological data to generate biological hypotheses. Experience using gas exchange and chlorophyll fluorescence systems (e.g. LICORs, Walz), and/or other photosynthetic mechanistic studies used to dissect photosynthetic performance. A strong understanding of the genetic mechanisms that govern plant phenotypes and the factors that influence gene expression. Familiarity with Linux, bioinformatic tools, and the application of machine learning to genomic/phenotype data is highly desirable. A growth-oriented mindset focused on continuous improvement - evaluating new tools and sparking innovation within the team. Ability to distil complex data into clear hypothesis and lead collaborative decision-making sessions. Job responsibilities Lead the design and management of experiments to collect bespoke physiology and genetic datasets across diverse species. Establish robust phenotyping methods and train junior team members to ensure high-quality data collection at scale. Utilise machine learning and bioinformatic tools to mine proprietary datasets, identifying causal genetics behind key photosynthesis traits. Critically evaluate machine learning / AI outputs by integrating photosynthesis expertise with literature reviews and data from our proprietary evolutionary and cell-based platform. Lead trait design sessions, collaborating with other photosynthesis experts, construct engineers, and bioinformaticians to inform phase promotion decisions. Iteratively improve data collection protocols based on the latest photosynthesis research.
May 05, 2026
Full time
The role We are looking for a motivated and skilled Trait Design Scientist, ideally with a background in photosynthesis research, to drive our R&D initiatives. At Wild, we are building proprietary and "new-to-science" datasets that we use to discover new yield traits. You will play a key role in analysing these datasets and driving the future direction of data collection to accelerate this discovery work. Location We're headquartered in Milton Park, a business and technology park in Oxfordshire. This is an on-site role, though we offer flexibility and hybrid working when possible. Job requirements A PhD in a relevant discipline, e.g. Plant Science, Photosynthesis, Plant Physiology, Bioinformatics. Proven experience delivering complex scientific research projects and driving their strategic direction. Deep theoretical and practical understanding of photosynthesis; you are comfortable interpreting complex physiological data to generate biological hypotheses. Experience using gas exchange and chlorophyll fluorescence systems (e.g. LICORs, Walz), and/or other photosynthetic mechanistic studies used to dissect photosynthetic performance. A strong understanding of the genetic mechanisms that govern plant phenotypes and the factors that influence gene expression. Familiarity with Linux, bioinformatic tools, and the application of machine learning to genomic/phenotype data is highly desirable. A growth-oriented mindset focused on continuous improvement - evaluating new tools and sparking innovation within the team. Ability to distil complex data into clear hypothesis and lead collaborative decision-making sessions. Job responsibilities Lead the design and management of experiments to collect bespoke physiology and genetic datasets across diverse species. Establish robust phenotyping methods and train junior team members to ensure high-quality data collection at scale. Utilise machine learning and bioinformatic tools to mine proprietary datasets, identifying causal genetics behind key photosynthesis traits. Critically evaluate machine learning / AI outputs by integrating photosynthesis expertise with literature reviews and data from our proprietary evolutionary and cell-based platform. Lead trait design sessions, collaborating with other photosynthesis experts, construct engineers, and bioinformaticians to inform phase promotion decisions. Iteratively improve data collection protocols based on the latest photosynthesis research.
Randstad Construction & Property
Ruislip, Middlesex
SCL Shift manager on Tunnels: Shifts Are you a Shift Manager with Tunnel's experience? Are you looking to work on a prestigious Project in West London? The role is 12 months working on SCL THIS ROLE IS ON A 12 HOUR SHIFT PATTERN 4 DAYS ON 4 OFF, 4 NIGHTS ON, 4 OFF Benefits: Attractive rates - £575 a Shift Umbrella PAYE An opportunity to gain valuable experience on a prestigious Major project A chance to work for one of the premiere main contractors currently in the UK Roles and Responsibilities: Oversee Shift engineers Operate and promote a high standard of health and safety and environment compliance Plan works Candidate Requirements: Civil Engineering Degree or equivalent CSCS card Think this is a job you may be interested in? Please submit your CV for more information. Alternatively, if you know someone who may be interested we offer a £200 referral fee for successfully placed candidates! Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
May 05, 2026
Seasonal
SCL Shift manager on Tunnels: Shifts Are you a Shift Manager with Tunnel's experience? Are you looking to work on a prestigious Project in West London? The role is 12 months working on SCL THIS ROLE IS ON A 12 HOUR SHIFT PATTERN 4 DAYS ON 4 OFF, 4 NIGHTS ON, 4 OFF Benefits: Attractive rates - £575 a Shift Umbrella PAYE An opportunity to gain valuable experience on a prestigious Major project A chance to work for one of the premiere main contractors currently in the UK Roles and Responsibilities: Oversee Shift engineers Operate and promote a high standard of health and safety and environment compliance Plan works Candidate Requirements: Civil Engineering Degree or equivalent CSCS card Think this is a job you may be interested in? Please submit your CV for more information. Alternatively, if you know someone who may be interested we offer a £200 referral fee for successfully placed candidates! Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Supply Chain Quality Manager Location: Stevenage (hybrid) Hours: 37per week Contract Length: till Dec 2026 Rate: 34.70/hour (umbrella) or 26 /hour (PAYE) Client : Aerospace A new opportunity has arisen for a Supply Chain Quality Manager to join Aerospace client. In this role you will act as key operational supplier interface and inspire trust and teamwork between client and suppliers. Key Responsibilities Act as the primary operational interface with suppliers, building strong, trusted partnerships. Ensure On Time, On Quality and On Cost supplier performance to protect business operations. Manage supplier milestones, product life cycle reviews, and delivery coordination with internal and external stakeholders. Lead progress meetings, gate reviews, and manage changes, deviations, waivers, and non conformities. Monitor supplier performance, risks, and industrial maturity; define and drive recovery and improvement action plans. Support development and industrialisation phases by bringing manufacturing, capacity, and supplier maturity expertise. Define and execute supplier qualification, surveillance, inspection, and audit activities using client quality standards and tools. Collaborate closely with Programme, Engineering, Product Assurance, Supply Chain, and external partners. Contribute to supplier selection, development strategies, and cross functional forums (MFT, VRB, SED, TEB). Skills & Experience Engineering or master's degree in related field Background in Procurement, Quality, Programmes or Projects, Production/AIT, or Engineering Project Management skills, Leadership skills Industry: Aerospace, Space systems or similar industry Knowledge of Space Systems and processes around satellite equipment development / production are a plus English: negotiation level; additional language may be required depending on location (Germany, France, UK, Spain) This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. The job holder must be able to accommodate a reasonable amount of travel for business needs (typically once or twice a month). Ready to take the next step in your supply chain career? Apply now with your CV to be part of a forward-thinking team where your expertise will make a real impact. This vacancy is being advertised by Belcan
May 05, 2026
Contractor
Supply Chain Quality Manager Location: Stevenage (hybrid) Hours: 37per week Contract Length: till Dec 2026 Rate: 34.70/hour (umbrella) or 26 /hour (PAYE) Client : Aerospace A new opportunity has arisen for a Supply Chain Quality Manager to join Aerospace client. In this role you will act as key operational supplier interface and inspire trust and teamwork between client and suppliers. Key Responsibilities Act as the primary operational interface with suppliers, building strong, trusted partnerships. Ensure On Time, On Quality and On Cost supplier performance to protect business operations. Manage supplier milestones, product life cycle reviews, and delivery coordination with internal and external stakeholders. Lead progress meetings, gate reviews, and manage changes, deviations, waivers, and non conformities. Monitor supplier performance, risks, and industrial maturity; define and drive recovery and improvement action plans. Support development and industrialisation phases by bringing manufacturing, capacity, and supplier maturity expertise. Define and execute supplier qualification, surveillance, inspection, and audit activities using client quality standards and tools. Collaborate closely with Programme, Engineering, Product Assurance, Supply Chain, and external partners. Contribute to supplier selection, development strategies, and cross functional forums (MFT, VRB, SED, TEB). Skills & Experience Engineering or master's degree in related field Background in Procurement, Quality, Programmes or Projects, Production/AIT, or Engineering Project Management skills, Leadership skills Industry: Aerospace, Space systems or similar industry Knowledge of Space Systems and processes around satellite equipment development / production are a plus English: negotiation level; additional language may be required depending on location (Germany, France, UK, Spain) This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. The job holder must be able to accommodate a reasonable amount of travel for business needs (typically once or twice a month). Ready to take the next step in your supply chain career? Apply now with your CV to be part of a forward-thinking team where your expertise will make a real impact. This vacancy is being advertised by Belcan
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Malted builds next-generation specialised intelligence for financial institutions. Our products combine advanced language technology with deep domain understanding to help firms make faster, more accurate and more accountable decisions. We focus entirely on financial services, working with leading banks, insurers and regulators to turn complex reasoning into clear, dependable intelligence. Our flagship product, Malted Pulse , provides AI that reasons transparently and can be inspected, governed and tuned to organisational policy. We're a highly technical team based in Edinburgh, combining deep machine learning experience with a rigorous approach to product design and engineering. We believe that making AI systems understandable isn't just an ethical necessity, it's a competitive advantage. About the team You'll be joining one of our product squads, responsible for building and evolving the systems that power Malted Pulse. The team designs and operates the systems that enable our customers to deploy reasoning agents at scale, with reliability, traceability and performance at the core. What you'll do As a Staff Engineer, you are a multiplier for any team. You own ill-defined, highly ambiguous projects, driving forward not only the implementation of work but also the design of the solution. You help set the technical direction of our platform, operating across multiple teams to define problem spaces rather than just solving them. You bridge gaps between engineering, product, commercial, and leadership to drive technical initiatives that matter to the business over the next 12-24 months. Responsibilities Lead the design of elegant solutions to complex problems and create roadmaps to tackle them incrementally. Drive technical discussions and architecture decisions that shape the platform's evolution across the wider business. Set technical vision and drive significant architectural decisions that hold together as the business grows. Work directly with company leadership on technical strategy and have real influence on company direction. Own problems that nobody else has been able to crack. Improve how engineering operates, from incident management processes to how teams are structured. Mentor Senior Engineers and help them grow into leadership, acting as a role model and coach for all engineers. Bridge gaps between engineering, product, commercial, and leadership. Who you are You're a seasoned engineer who enjoys solving complex problems with clarity and precision. You bring a level of experience and pattern recognition that allows you to set the standard for how engineering thinks and works at scale. Eligible to work in the UK. Extensive professional software engineering experience with a demonstrable impact on the quality and suitability of a team's work. Exceptional technical depth with the ability to engage credibly on any part of the stack. Proven ability to identify, coordinate and deliver highly impactful solutions to complex problems. Strong experience in Python (or other language) and deep familiarity with AWS or another major cloud platform. Experience shaping product direction and identifying high-level opportunities. Expertise in designing distributed systems and setting technical standards others follow. Strong understanding of the security and compliance landscape to advise the business on technical risk. Proven ability to anticipate technical challenges before they surface and address them before they become blockers. Working at Malted We're based in Edinburgh and work from the office three days a week (Monday, Wednesday and Friday). The rest of the week is work from home. We keep a high bar for technical quality but a low tolerance for ego. You'll join a team that values precision, humour and intellectual honesty. Pension and stock options Medical and life insurance Hybrid working and ad hoc flexibility The chance to work on one of a kind products at the forefront of the AI industry Professional development and growth opportunities A collaborative, inclusive workplace that promotes innovation and teamwork Free snacks and drinks Social events and company outings Relocation assistance for candidates moving to Edinburgh Malted AI is an equal opportunity employer, and we encourage candidates from all backgrounds to apply. If there's anything we can do to make your journey as a candidate easier, let us know when you apply. We aren't working with recruiters for these positions; we're excited to connect directly with candidates who share our enthusiasm for small language models.
May 05, 2026
Full time
Malted builds next-generation specialised intelligence for financial institutions. Our products combine advanced language technology with deep domain understanding to help firms make faster, more accurate and more accountable decisions. We focus entirely on financial services, working with leading banks, insurers and regulators to turn complex reasoning into clear, dependable intelligence. Our flagship product, Malted Pulse , provides AI that reasons transparently and can be inspected, governed and tuned to organisational policy. We're a highly technical team based in Edinburgh, combining deep machine learning experience with a rigorous approach to product design and engineering. We believe that making AI systems understandable isn't just an ethical necessity, it's a competitive advantage. About the team You'll be joining one of our product squads, responsible for building and evolving the systems that power Malted Pulse. The team designs and operates the systems that enable our customers to deploy reasoning agents at scale, with reliability, traceability and performance at the core. What you'll do As a Staff Engineer, you are a multiplier for any team. You own ill-defined, highly ambiguous projects, driving forward not only the implementation of work but also the design of the solution. You help set the technical direction of our platform, operating across multiple teams to define problem spaces rather than just solving them. You bridge gaps between engineering, product, commercial, and leadership to drive technical initiatives that matter to the business over the next 12-24 months. Responsibilities Lead the design of elegant solutions to complex problems and create roadmaps to tackle them incrementally. Drive technical discussions and architecture decisions that shape the platform's evolution across the wider business. Set technical vision and drive significant architectural decisions that hold together as the business grows. Work directly with company leadership on technical strategy and have real influence on company direction. Own problems that nobody else has been able to crack. Improve how engineering operates, from incident management processes to how teams are structured. Mentor Senior Engineers and help them grow into leadership, acting as a role model and coach for all engineers. Bridge gaps between engineering, product, commercial, and leadership. Who you are You're a seasoned engineer who enjoys solving complex problems with clarity and precision. You bring a level of experience and pattern recognition that allows you to set the standard for how engineering thinks and works at scale. Eligible to work in the UK. Extensive professional software engineering experience with a demonstrable impact on the quality and suitability of a team's work. Exceptional technical depth with the ability to engage credibly on any part of the stack. Proven ability to identify, coordinate and deliver highly impactful solutions to complex problems. Strong experience in Python (or other language) and deep familiarity with AWS or another major cloud platform. Experience shaping product direction and identifying high-level opportunities. Expertise in designing distributed systems and setting technical standards others follow. Strong understanding of the security and compliance landscape to advise the business on technical risk. Proven ability to anticipate technical challenges before they surface and address them before they become blockers. Working at Malted We're based in Edinburgh and work from the office three days a week (Monday, Wednesday and Friday). The rest of the week is work from home. We keep a high bar for technical quality but a low tolerance for ego. You'll join a team that values precision, humour and intellectual honesty. Pension and stock options Medical and life insurance Hybrid working and ad hoc flexibility The chance to work on one of a kind products at the forefront of the AI industry Professional development and growth opportunities A collaborative, inclusive workplace that promotes innovation and teamwork Free snacks and drinks Social events and company outings Relocation assistance for candidates moving to Edinburgh Malted AI is an equal opportunity employer, and we encourage candidates from all backgrounds to apply. If there's anything we can do to make your journey as a candidate easier, let us know when you apply. We aren't working with recruiters for these positions; we're excited to connect directly with candidates who share our enthusiasm for small language models.
