Chief Engineer Serco Maritime Services, Kyle of Lochalsh Permanent, Full Time, 6 weeks on/3 weeks off- Opportunity to live afloat if required Competitive salary plus benefits In the Kyle of Lochalsh, we have an exciting opportunity for a Chief Engineer to join the team, the rotation for this role is 6 weeks on/3 weeks off. This post offers an exciting opportunity for the right applicant to support a professional multi-skilled team operating from beautiful Kyle of Lochalsh for customers who expect and deserve the best service. Serco Maritime Services deliver maritime support packages tailored to our customers' needs all delivered within a national accreditation framework. As owners and operators of specialist vessels, from harbour workboats to oceangoing support vessels, we provide world class integrated maritime services both in the UK and abroad. Our vessels provide a range of support, which include for example: dive support, military training, submarine rescue exercises, target/test equipment deployment/recovery and passenger transfers. This Chief Engineer role will ensure the following as a minimum: Safe and efficient operation and maintenance of all propulsion, auxiliary and deck machinery, electrical appliances, air conditioning, domestic installations, boilers, fittings and structures within and without the machinery spaces and such items as may be detailed by the Company from time to time. Daily consultation with the Master and vessel crew in order to achieve the maximum economy consistent with the minimum efficiency required of the machinery under his/her charge. He/she must keep the Master promptly and fully informed of any occurrences in the engine room which might affect navigation, propulsion or the essential services under his control. Follow Company policies/procedures relating to his department, making sure that his team are alerted to Company requirements particularly safety, on any relevant matters. Maintain vessel administration/upkeep of Classification Society Survey requirements for both hull and machinery in support of ashore Technical team. Be fully conversant with the use of all safety equipment, emergency procedures and vessel contingency plans. Be familiar with safety routines and ensure necessary safeguards are in place before any work commences. Essential Qualifications/Experience: Certificate of Competence as Chief Engineer (3000kW) as a minimum STCW Personal Survival Techniques (5 Year Refresher Course) STCW Personal Safety and Social Responsibilities (5 Year Refresher Course) STCW Fire Prevention and Fire Fighting (5 Year Refresher Course) STCW Certificate of Proficiency in Survival Craft (5 Year Refresher Course) STCW Proficiency in Designated Security Duties (5 Year Refresher Course) STCW Elementary First Aid Unrestricted ENG1 Passport Methodical in approach Desirable skills, knowledge and qualifications: Ship's Safety Officer - Preferred Manual Handling Familiarisation with company/industry specific systems: Company Safety Management System (SMS) Integrated Management System (IMS) International Safety Management (ISM) International Ship and Port Facility Security Code (ISPS) Code of Safe Working Practices (CoSWP) International Organisational for Standardisation (ISO) What we offer: Salary: Competitive salaries with annual reviews Pension: Up to 6% contributory pension scheme Holidays: 25 days' annual leave plus bank holidays Training and development: We offer a wide range of learning opportunities with over 1,100 internal courses available, funding for qualifications and apprenticeships, mentoring opportunities, and a focus on internal progression Wellbeing: 24/7 Employee Assistance Programme, BUPA Anytime HealthLine, wellbeing app, Simplyhealth cash plans to claim back money towards healthcare costs, 30% off at Serco-managed leisure centres Discounts: Save across around 1,000 retailers, from food and clothing to days out, entertainment and travel ShareSave scheme: Helps you save regularly with the choice to buy Serco shares at a discount at the end of your savings period Employee networks: Dedicated networks where colleagues can come together to find support, share challenges, discuss ideas, network and be part of a community Charity: Support a charity or organisation with a paid volunteering day each year. You can also choose to donate to your favourite charity tax-free, through our Payroll Giving Scheme. To discover more about our careers in Defence, meet our team, and to find out more about what we offer, please follow this Link. We're also a signatory of the UK Governments Women in Defence Charter, to find out more please click here. Please click on the apply button to complete your application. Occasionally we receive a large volume of applications for our roles and when that happens, we sometimes bring the closing date forward, so please apply promptly to avoid disappointment. At Serco, we see people first and foremost for their performance and potential. We are committed to building a diverse and inclusive organisation that supports the needs of all. As such we will make reasonable adjustments at interview through to employment for our candidates and strongly encourage applications from a diverse candidate pool. We are open to discussions around flexibility and flexible working. As a proud Disability Confident Leader and holder of the Gold Inclusive Employer Standard, disabled applicants who meet the minimum criteria for the job will be given the opportunity to demonstrate their abilities at an interview.
Dec 10, 2025
Full time
Chief Engineer Serco Maritime Services, Kyle of Lochalsh Permanent, Full Time, 6 weeks on/3 weeks off- Opportunity to live afloat if required Competitive salary plus benefits In the Kyle of Lochalsh, we have an exciting opportunity for a Chief Engineer to join the team, the rotation for this role is 6 weeks on/3 weeks off. This post offers an exciting opportunity for the right applicant to support a professional multi-skilled team operating from beautiful Kyle of Lochalsh for customers who expect and deserve the best service. Serco Maritime Services deliver maritime support packages tailored to our customers' needs all delivered within a national accreditation framework. As owners and operators of specialist vessels, from harbour workboats to oceangoing support vessels, we provide world class integrated maritime services both in the UK and abroad. Our vessels provide a range of support, which include for example: dive support, military training, submarine rescue exercises, target/test equipment deployment/recovery and passenger transfers. This Chief Engineer role will ensure the following as a minimum: Safe and efficient operation and maintenance of all propulsion, auxiliary and deck machinery, electrical appliances, air conditioning, domestic installations, boilers, fittings and structures within and without the machinery spaces and such items as may be detailed by the Company from time to time. Daily consultation with the Master and vessel crew in order to achieve the maximum economy consistent with the minimum efficiency required of the machinery under his/her charge. He/she must keep the Master promptly and fully informed of any occurrences in the engine room which might affect navigation, propulsion or the essential services under his control. Follow Company policies/procedures relating to his department, making sure that his team are alerted to Company requirements particularly safety, on any relevant matters. Maintain vessel administration/upkeep of Classification Society Survey requirements for both hull and machinery in support of ashore Technical team. Be fully conversant with the use of all safety equipment, emergency procedures and vessel contingency plans. Be familiar with safety routines and ensure necessary safeguards are in place before any work commences. Essential Qualifications/Experience: Certificate of Competence as Chief Engineer (3000kW) as a minimum STCW Personal Survival Techniques (5 Year Refresher Course) STCW Personal Safety and Social Responsibilities (5 Year Refresher Course) STCW Fire Prevention and Fire Fighting (5 Year Refresher Course) STCW Certificate of Proficiency in Survival Craft (5 Year Refresher Course) STCW Proficiency in Designated Security Duties (5 Year Refresher Course) STCW Elementary First Aid Unrestricted ENG1 Passport Methodical in approach Desirable skills, knowledge and qualifications: Ship's Safety Officer - Preferred Manual Handling Familiarisation with company/industry specific systems: Company Safety Management System (SMS) Integrated Management System (IMS) International Safety Management (ISM) International Ship and Port Facility Security Code (ISPS) Code of Safe Working Practices (CoSWP) International Organisational for Standardisation (ISO) What we offer: Salary: Competitive salaries with annual reviews Pension: Up to 6% contributory pension scheme Holidays: 25 days' annual leave plus bank holidays Training and development: We offer a wide range of learning opportunities with over 1,100 internal courses available, funding for qualifications and apprenticeships, mentoring opportunities, and a focus on internal progression Wellbeing: 24/7 Employee Assistance Programme, BUPA Anytime HealthLine, wellbeing app, Simplyhealth cash plans to claim back money towards healthcare costs, 30% off at Serco-managed leisure centres Discounts: Save across around 1,000 retailers, from food and clothing to days out, entertainment and travel ShareSave scheme: Helps you save regularly with the choice to buy Serco shares at a discount at the end of your savings period Employee networks: Dedicated networks where colleagues can come together to find support, share challenges, discuss ideas, network and be part of a community Charity: Support a charity or organisation with a paid volunteering day each year. You can also choose to donate to your favourite charity tax-free, through our Payroll Giving Scheme. To discover more about our careers in Defence, meet our team, and to find out more about what we offer, please follow this Link. We're also a signatory of the UK Governments Women in Defence Charter, to find out more please click here. Please click on the apply button to complete your application. Occasionally we receive a large volume of applications for our roles and when that happens, we sometimes bring the closing date forward, so please apply promptly to avoid disappointment. At Serco, we see people first and foremost for their performance and potential. We are committed to building a diverse and inclusive organisation that supports the needs of all. As such we will make reasonable adjustments at interview through to employment for our candidates and strongly encourage applications from a diverse candidate pool. We are open to discussions around flexibility and flexible working. As a proud Disability Confident Leader and holder of the Gold Inclusive Employer Standard, disabled applicants who meet the minimum criteria for the job will be given the opportunity to demonstrate their abilities at an interview.
Junior Applications Engineer £30,000 - £35,000 Sandiacre Role Overview We are seeking a motivated engineer with an electrical / electromechanical engineering degree and up to 2 years' experience to join our team as a Laser Service & Applications Engineer. In this role you will split your time between: - Developing and improving laser cutting applications - Answering customer service calls and diagnosing problems remotely - Working in our factory to commission new laser machines and support production and process development - Gaining deep product knowledge across legacy and modern laser systems and helping advance our product line - Few times a month, visiting customer sites to repair, maintain and commission laser machines Key Responsibilities - Responsible for developing and improving laser cutting applications - Provide phone-based customer support: receive service calls, diagnose issues, guide customers, and determine when a field visit is required - When required, travel to customer sites to conduct on-site repairs, maintenance, upgrades and commissioning of laser equipment - Commission new machines in the factory: setup, calibration, acceptance testing, handover to production - Learn and document the differences between legacy laser systems and new-generation machines, their physical design, control systems and maintenance regimes - Collaborate with production and manufacturing teams to support process development for both current and future product lines - Actively contribute to product advancement through feedback, testing and continuous improvement initiatives - Interface with customers to understand their application needs and provide technical support and advice - Assist in developing installation, operation and maintenance procedures and technical documentation - Work with cross-functional teams (engineering, manufacturing, service, sales) to drive continuous improvement of service offerings and product usability Required Qualifications & Traits - Bachelor's degree in Electrical or Electrotechnical Engineering (or equivalent) - 0 to 2 years of relevant engineering experience - Strong problem-solving aptitude: you genuinely enjoy fixing things as a hobby, tinkering, taking machines apart and understanding them - Quick learner who enjoys solving problems and diving into machine systems - Comfortable speaking with customers: good interpersonal and communication skills, able to explain technical issues in an understandable way - Willingness to travel to customer sites and work in production environments - Enthusiasm for learning both the physical/mechanical side and the electrical / PLC side of laser systems Desired Traits - Proactive, curious and hands-on: you not only fix things in your free time, but you also want to be an "engineer" outside work too - Customer-friendly: you enjoy engaging with customers to understand their issues and help them resolve problems - Process-oriented mindset: you see opportunities to improve how machines are commissioned, maintained, or upgraded - A committed team player who works well across functions and shares knowledge Why Join Us? You will join a team where the service function is evolving and a strong product-knowledge engineer is needed. You will build deep expertise across a range of laser systems, from older machines in the field to the latest generation models in the factory. The mix of customer-facing service support, on-site field work and production commissioning gives you a varied and challenging role-ideal for someone who loves machines and solving things JBRP1_UKTJ
Dec 10, 2025
Full time
Junior Applications Engineer £30,000 - £35,000 Sandiacre Role Overview We are seeking a motivated engineer with an electrical / electromechanical engineering degree and up to 2 years' experience to join our team as a Laser Service & Applications Engineer. In this role you will split your time between: - Developing and improving laser cutting applications - Answering customer service calls and diagnosing problems remotely - Working in our factory to commission new laser machines and support production and process development - Gaining deep product knowledge across legacy and modern laser systems and helping advance our product line - Few times a month, visiting customer sites to repair, maintain and commission laser machines Key Responsibilities - Responsible for developing and improving laser cutting applications - Provide phone-based customer support: receive service calls, diagnose issues, guide customers, and determine when a field visit is required - When required, travel to customer sites to conduct on-site repairs, maintenance, upgrades and commissioning of laser equipment - Commission new machines in the factory: setup, calibration, acceptance testing, handover to production - Learn and document the differences between legacy laser systems and new-generation machines, their physical design, control systems and maintenance regimes - Collaborate with production and manufacturing teams to support process development for both current and future product lines - Actively contribute to product advancement through feedback, testing and continuous improvement initiatives - Interface with customers to understand their application needs and provide technical support and advice - Assist in developing installation, operation and maintenance procedures and technical documentation - Work with cross-functional teams (engineering, manufacturing, service, sales) to drive continuous improvement of service offerings and product usability Required Qualifications & Traits - Bachelor's degree in Electrical or Electrotechnical Engineering (or equivalent) - 0 to 2 years of relevant engineering experience - Strong problem-solving aptitude: you genuinely enjoy fixing things as a hobby, tinkering, taking machines apart and understanding them - Quick learner who enjoys solving problems and diving into machine systems - Comfortable speaking with customers: good interpersonal and communication skills, able to explain technical issues in an understandable way - Willingness to travel to customer sites and work in production environments - Enthusiasm for learning both the physical/mechanical side and the electrical / PLC side of laser systems Desired Traits - Proactive, curious and hands-on: you not only fix things in your free time, but you also want to be an "engineer" outside work too - Customer-friendly: you enjoy engaging with customers to understand their issues and help them resolve problems - Process-oriented mindset: you see opportunities to improve how machines are commissioned, maintained, or upgraded - A committed team player who works well across functions and shares knowledge Why Join Us? You will join a team where the service function is evolving and a strong product-knowledge engineer is needed. You will build deep expertise across a range of laser systems, from older machines in the field to the latest generation models in the factory. The mix of customer-facing service support, on-site field work and production commissioning gives you a varied and challenging role-ideal for someone who loves machines and solving things JBRP1_UKTJ
Product Data Analyst Salary: 65,000 - 75,000 Location: Fully Remote We are currently looking for an Product Data Analyst to join a fast-growing , innovative , and data-driven tech team within a global cybersecurity education company. You'll play a pivotal role in shaping data strategy and delivering insights that drive smarter decisions across the business. As an Product Data Analyst, you'll own the full data journey, from managing pipelines and creating models to developing visualisations that help teams understand user behaviour and business performance. This is a high-impact role, giving you the chance to transform complex data into meaningful stories that influence strategy and product direction. The Opportunity As part of a rapidly scaling technology company, you'll work with modern data tools to deliver real-time insights and automation. This Product Data Analyst role stands out because you'll have genuine ownership of analytics and visibility across the organisation, not just building dashboards, but defining how data drives growth. Key Responsibilities: Design, build, and maintain data models and pipelines. Create engaging dashboards and visualisations to present findings to non-technical audiences. Collaborate with stakeholders to translate business needs into data-driven outcomes. Use analytics to uncover trends, opportunities, and risks that shape company strategy. Champion data best practices and innovation within the wider team. What's in it for you? Competitive salary (based on geography and experience). Fully remote working - work from anywhere in the world. 2,500 personal development budget for certifications, training, and learning. Health insurance (where applicable). Skills and Experience Must Have: 2+ years' experience as a Data Analyst, Data Engineer, or Analytics Engineer. dbt Advanced SQL skills and experience with data visualisation tools (Tableau preferred). Knowledge of data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical findings clearly. Nice to Have: Exposure to event-based analytics and user behaviour tracking. Understanding of machine learning models and techniques. Experience in a start-up or fast-scaling tech environment. If you'd like to be considered for this exciting Product Data Analyst opportunity and think you'd be a great fit, please click the Apply button below to submit your CV. We look forward to hearing from you!
Dec 10, 2025
Full time
Product Data Analyst Salary: 65,000 - 75,000 Location: Fully Remote We are currently looking for an Product Data Analyst to join a fast-growing , innovative , and data-driven tech team within a global cybersecurity education company. You'll play a pivotal role in shaping data strategy and delivering insights that drive smarter decisions across the business. As an Product Data Analyst, you'll own the full data journey, from managing pipelines and creating models to developing visualisations that help teams understand user behaviour and business performance. This is a high-impact role, giving you the chance to transform complex data into meaningful stories that influence strategy and product direction. The Opportunity As part of a rapidly scaling technology company, you'll work with modern data tools to deliver real-time insights and automation. This Product Data Analyst role stands out because you'll have genuine ownership of analytics and visibility across the organisation, not just building dashboards, but defining how data drives growth. Key Responsibilities: Design, build, and maintain data models and pipelines. Create engaging dashboards and visualisations to present findings to non-technical audiences. Collaborate with stakeholders to translate business needs into data-driven outcomes. Use analytics to uncover trends, opportunities, and risks that shape company strategy. Champion data best practices and innovation within the wider team. What's in it for you? Competitive salary (based on geography and experience). Fully remote working - work from anywhere in the world. 2,500 personal development budget for certifications, training, and learning. Health insurance (where applicable). Skills and Experience Must Have: 2+ years' experience as a Data Analyst, Data Engineer, or Analytics Engineer. dbt Advanced SQL skills and experience with data visualisation tools (Tableau preferred). Knowledge of data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical findings clearly. Nice to Have: Exposure to event-based analytics and user behaviour tracking. Understanding of machine learning models and techniques. Experience in a start-up or fast-scaling tech environment. If you'd like to be considered for this exciting Product Data Analyst opportunity and think you'd be a great fit, please click the Apply button below to submit your CV. We look forward to hearing from you!
Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer/Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer/Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer/Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary £60,000- £90,000 Dependent on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a CV- good luck To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
Dec 10, 2025
Full time
Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer/Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer/Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer/Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary £60,000- £90,000 Dependent on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a CV- good luck To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Develop robust Python pipelines for data manipulation using NLP and Foundation Models Apply geospatial libraries and techniques to subsurface geological datasets Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Required Qualifications Honors degree (2:1 or above) in data science or related field. Minimum of 2 years related work experience Essential Skills Proficiency in Python, with a strong grasp of Python best practices Experience using Git for version control and collaboration Experience in use of ML, NLP and Foundation Models in ETL pipelines Knowledge of secure coding principles Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL Knowledge of PostgreSQL/PostGIS for spatial data management Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Experience working with large datasets, including data preprocessing Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset Self-motivated, detail-oriented, and capable of managing multiple task Desirable Skills Knowledge of geological or subsurface data domains Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204366 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Dec 10, 2025
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Develop robust Python pipelines for data manipulation using NLP and Foundation Models Apply geospatial libraries and techniques to subsurface geological datasets Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Required Qualifications Honors degree (2:1 or above) in data science or related field. Minimum of 2 years related work experience Essential Skills Proficiency in Python, with a strong grasp of Python best practices Experience using Git for version control and collaboration Experience in use of ML, NLP and Foundation Models in ETL pipelines Knowledge of secure coding principles Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL Knowledge of PostgreSQL/PostGIS for spatial data management Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Experience working with large datasets, including data preprocessing Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset Self-motivated, detail-oriented, and capable of managing multiple task Desirable Skills Knowledge of geological or subsurface data domains Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204366 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges • Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you'll help shape the future of subsurface interpretation and modelling. Key Responsibilities Under supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients. Required Qualifications & Skills Honors degree (2:1 or above) geoscience. 2 - 5 years relevant industry experience Strong understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI / ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Desirable Experience Proven application of AI/ML in geoscience projects. Experience in the energy sector. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204383 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Dec 10, 2025
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges • Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you'll help shape the future of subsurface interpretation and modelling. Key Responsibilities Under supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients. Required Qualifications & Skills Honors degree (2:1 or above) geoscience. 2 - 5 years relevant industry experience Strong understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI / ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Desirable Experience Proven application of AI/ML in geoscience projects. Experience in the energy sector. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204383 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a highly skilled and motivated Senior AI Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Collaborate with geoscientists and engineers to understand requirements and design effective solutions Develop robust Python pipelines for data manipulation Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Champion Python best practices across the team and support the development of junior team members Required Qualifications Honors degree (2:1 or above) in data science/AI or related field. Minimum of 10 years related work experience. Desirable Qualifications Postgraduate qualification in AI or related field Essential Skills Proficiency in Python, with a strong adherence to Python best practices Experience using Git for version control and collaboration Knowledge of secure coding principles Expertise in geospatial libraries such as GeoPandas, Shapely, and GDAL Advanced knowledge of PostgreSQL/PostGIS for spatial data management Experience with AWS and Azure platforms, including AI services (e.g., AWS SageMaker, Azure ML) Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Strong teamwork and interpersonal skills, with a collaborative and agile mindset Proven ability to work within agile development environments Self-motivated, detail-oriented, and capable of managing multiple tasks Desirable Skills Knowledge of geological or subsurface data domains Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Understanding of data governance and compliance in scientific environments Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204382 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Dec 10, 2025
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a highly skilled and motivated Senior AI Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Collaborate with geoscientists and engineers to understand requirements and design effective solutions Develop robust Python pipelines for data manipulation Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Champion Python best practices across the team and support the development of junior team members Required Qualifications Honors degree (2:1 or above) in data science/AI or related field. Minimum of 10 years related work experience. Desirable Qualifications Postgraduate qualification in AI or related field Essential Skills Proficiency in Python, with a strong adherence to Python best practices Experience using Git for version control and collaboration Knowledge of secure coding principles Expertise in geospatial libraries such as GeoPandas, Shapely, and GDAL Advanced knowledge of PostgreSQL/PostGIS for spatial data management Experience with AWS and Azure platforms, including AI services (e.g., AWS SageMaker, Azure ML) Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Strong teamwork and interpersonal skills, with a collaborative and agile mindset Proven ability to work within agile development environments Self-motivated, detail-oriented, and capable of managing multiple tasks Desirable Skills Knowledge of geological or subsurface data domains Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Understanding of data governance and compliance in scientific environments Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204382 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
A Senior ML Research Engineer is sought to join an innovative AI research team in Surrey, contributing to the development of advanced AI models and algorithms for speech, audio, and generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning and audio/speech processing, learning from peers and senior engineers while applying click apply for full job details
Dec 10, 2025
Full time
A Senior ML Research Engineer is sought to join an innovative AI research team in Surrey, contributing to the development of advanced AI models and algorithms for speech, audio, and generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning and audio/speech processing, learning from peers and senior engineers while applying click apply for full job details
Microsoft AI Engineer / Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer / Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary 60,000- 90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a cv- good luck To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Dec 10, 2025
Full time
Microsoft AI Engineer / Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer / Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary 60,000- 90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a cv- good luck To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Contract | 6-12 months+ | Outside IR35 Programme Start: Q1 2026 A major UK financial services organisation has secured funding for a multi-year AI transformation and modernisation programme starting in Q1 2026. We're looking for a hands-on ML Engineer to build and productionise models that support governance, risk, analytics and operational decision-making. What you'll be doing Build and deploy ML models into production-grade cloud environments Work with data engineers and the AI Hub teams to deliver use cases end-to-end Support monitoring, retraining and continuous improvement of models Collaborate on responsible AI practices (explainability, fairness, audit trails) Influence ML design and engineering best practice within the programme What you'll need Strong Python and ML frameworks (PyTorch/TensorFlow/scikit-learn) Experience deploying models into Azure environments Familiarity with CI/CD, MLflow, model governance Stakeholder communication skills in regulated settings FS/pensions experience strongly preferred If you're an experienced ML engineer feel free to apply or send your C.V to (see below)
Dec 09, 2025
Contractor
Contract | 6-12 months+ | Outside IR35 Programme Start: Q1 2026 A major UK financial services organisation has secured funding for a multi-year AI transformation and modernisation programme starting in Q1 2026. We're looking for a hands-on ML Engineer to build and productionise models that support governance, risk, analytics and operational decision-making. What you'll be doing Build and deploy ML models into production-grade cloud environments Work with data engineers and the AI Hub teams to deliver use cases end-to-end Support monitoring, retraining and continuous improvement of models Collaborate on responsible AI practices (explainability, fairness, audit trails) Influence ML design and engineering best practice within the programme What you'll need Strong Python and ML frameworks (PyTorch/TensorFlow/scikit-learn) Experience deploying models into Azure environments Familiarity with CI/CD, MLflow, model governance Stakeholder communication skills in regulated settings FS/pensions experience strongly preferred If you're an experienced ML engineer feel free to apply or send your C.V to (see below)
Application Software Engineer (Mid level - Senior), Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: £35,000 - £55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects, leveraging cutting-edge technologies including modern JavaScript libraries and Front End frameworks. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities, happy to be in a team and share ideas. Technical Skills - Exceptional with one or more of the following: Programming: Node.js, Python, Java, JavaScript (React, Angular, Vue.js), JavaScript libraries (React, Angular, Vue.js) - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. - Some UI or UX design work - Ideally a competent programmer in Java or Python to a high level - Someone that has been involved both Back End and Front End could do very well here. Experience - The sweet spot for the Application Software Engineer position is someone with three to five years industry experience in a cutting edge tech company. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from an experience team whilst sharing your own ideas. - Designing smart web based applications, chance to work end back and Front End. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer.
Dec 09, 2025
Full time
Application Software Engineer (Mid level - Senior), Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: £35,000 - £55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects, leveraging cutting-edge technologies including modern JavaScript libraries and Front End frameworks. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities, happy to be in a team and share ideas. Technical Skills - Exceptional with one or more of the following: Programming: Node.js, Python, Java, JavaScript (React, Angular, Vue.js), JavaScript libraries (React, Angular, Vue.js) - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. - Some UI or UX design work - Ideally a competent programmer in Java or Python to a high level - Someone that has been involved both Back End and Front End could do very well here. Experience - The sweet spot for the Application Software Engineer position is someone with three to five years industry experience in a cutting edge tech company. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from an experience team whilst sharing your own ideas. - Designing smart web based applications, chance to work end back and Front End. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer.
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (url removed) or call (phone number removed). Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Dec 09, 2025
Full time
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (url removed) or call (phone number removed). Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
We are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential. Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies. If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you. Zero Surplus is one of the UK's premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK. For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period. Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus' Privacy Policy.
Dec 09, 2025
Full time
We are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential. Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies. If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you. Zero Surplus is one of the UK's premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK. For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period. Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus' Privacy Policy.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Machine Learning Geoscientist Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges • Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you'll help shape the future of subsurface interpretation and modelling. Key Responsibilities Under general supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients. Required Qualifications & Skills Honors degree (2:1 or above) and postgraduate qualification in geoscience. Minimum of 4 years related work experience, or completion of a PhD. In-depth understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI / ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Desirable Experience PhD in geoscience. Proven application of AI/ML in geoscience projects. Experience in the energy sector. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204376 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Dec 09, 2025
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Machine Learning Geoscientist Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges • Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you'll help shape the future of subsurface interpretation and modelling. Key Responsibilities Under general supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients. Required Qualifications & Skills Honors degree (2:1 or above) and postgraduate qualification in geoscience. Minimum of 4 years related work experience, or completion of a PhD. In-depth understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI / ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Desirable Experience PhD in geoscience. Proven application of AI/ML in geoscience projects. Experience in the energy sector. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204376 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
Mechanical Engineer Runcorn Permanent Full-time Shifts (Days / Afternoons + On-Call Rotation) Our client, a leading organisation within the manufacturing and circular economy sector, is seeking an experienced Mechanical Engineer to join their expanding engineering team in Runcorn. This is a fantastic opportunity for someone with strong mechanical maintenance experience who wants to work with modern plant machinery in a fast-paced, continuously improving environment. The Role As a Mechanical Engineer, youll play a key role in ensuring the safe, reliable and efficient operation of all mechanical plant equipment through both proactive and reactive maintenance. Key responsibilities include: Carrying out planned preventative maintenance (PPM) on mechanical systems and machinery Responding to breakdowns, diagnosing faults and completing high-quality repairs Using root cause analysis and proven fault-finding techniques to solve mechanical issues Disassembling, inspecting, repairing and rebuilding mechanical components including pumps, motors, gearboxes, conveyors and rotating machinery Reading mechanical drawings, manuals and technical documentation Keeping accurate maintenance logs including work completed, parts used and downtime records Supporting continuous improvement to reduce downtime and boost reliability Ensuring compliance with Health & Safety procedures, risk assessments and isolation processes The role follows a rotating shift pattern of days and afternoons, plus participation in an on-call schedule. About You To be successful in this position, you will have: Qualifications: (Accepted qualifications include) Apprenticeship in Mechanical Engineering or Level 3 Mechanical Engineering Qualification such as: NVQ Level 3 Mechanical Engineering Maintenance BTEC Level 3 Mechanical Engineering City & Guilds Level 3 Mechanical Maintenance HNC/HND in Mechanical Engineering IOSH is desirable but not essential Experience: Proven experience as a Mechanical Engineer / Maintenance Engineer / Mechanical Maintenance Technician Strong mechanical bias with solid hands-on ability Fault-finding experience across mechanical, pneumatic and hydraulic systems Competence working with rotating machinery (motors, pumps, gearboxes) Confident using workshop tools and machinery Strong understanding of preventative maintenance Excellent problem-solving and analytical skills Ability to work independently as well as part of a team In return, they offer: Generous holiday allowance Core hours, flexitime and time off in lieu Buying & selling holidays Employee benefits platform Electric vehicle salary sacrifice scheme Health & wellbeing Free flu jabs Occupational health Pension scheme Health cash plans Cycle to work scheme Social culture and events Internal training Academy E-learning opportunities Access to external training and supported education Long service awards Bonus scheme Sales incentive program Employee Assistance Programme Enhanced maternity and paternity leave Why Apply? This is an excellent opportunity to join a forward-thinking organisation committed to investment, innovation and long-term site development. If you're looking for stability, progression and the chance to work with a highly skilled engineering team, this role offers all of that and more. Pivt Group LTD is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or any other characteristic protected by law. JBRP1_UKTJ
Dec 09, 2025
Full time
Mechanical Engineer Runcorn Permanent Full-time Shifts (Days / Afternoons + On-Call Rotation) Our client, a leading organisation within the manufacturing and circular economy sector, is seeking an experienced Mechanical Engineer to join their expanding engineering team in Runcorn. This is a fantastic opportunity for someone with strong mechanical maintenance experience who wants to work with modern plant machinery in a fast-paced, continuously improving environment. The Role As a Mechanical Engineer, youll play a key role in ensuring the safe, reliable and efficient operation of all mechanical plant equipment through both proactive and reactive maintenance. Key responsibilities include: Carrying out planned preventative maintenance (PPM) on mechanical systems and machinery Responding to breakdowns, diagnosing faults and completing high-quality repairs Using root cause analysis and proven fault-finding techniques to solve mechanical issues Disassembling, inspecting, repairing and rebuilding mechanical components including pumps, motors, gearboxes, conveyors and rotating machinery Reading mechanical drawings, manuals and technical documentation Keeping accurate maintenance logs including work completed, parts used and downtime records Supporting continuous improvement to reduce downtime and boost reliability Ensuring compliance with Health & Safety procedures, risk assessments and isolation processes The role follows a rotating shift pattern of days and afternoons, plus participation in an on-call schedule. About You To be successful in this position, you will have: Qualifications: (Accepted qualifications include) Apprenticeship in Mechanical Engineering or Level 3 Mechanical Engineering Qualification such as: NVQ Level 3 Mechanical Engineering Maintenance BTEC Level 3 Mechanical Engineering City & Guilds Level 3 Mechanical Maintenance HNC/HND in Mechanical Engineering IOSH is desirable but not essential Experience: Proven experience as a Mechanical Engineer / Maintenance Engineer / Mechanical Maintenance Technician Strong mechanical bias with solid hands-on ability Fault-finding experience across mechanical, pneumatic and hydraulic systems Competence working with rotating machinery (motors, pumps, gearboxes) Confident using workshop tools and machinery Strong understanding of preventative maintenance Excellent problem-solving and analytical skills Ability to work independently as well as part of a team In return, they offer: Generous holiday allowance Core hours, flexitime and time off in lieu Buying & selling holidays Employee benefits platform Electric vehicle salary sacrifice scheme Health & wellbeing Free flu jabs Occupational health Pension scheme Health cash plans Cycle to work scheme Social culture and events Internal training Academy E-learning opportunities Access to external training and supported education Long service awards Bonus scheme Sales incentive program Employee Assistance Programme Enhanced maternity and paternity leave Why Apply? This is an excellent opportunity to join a forward-thinking organisation committed to investment, innovation and long-term site development. If you're looking for stability, progression and the chance to work with a highly skilled engineering team, this role offers all of that and more. Pivt Group LTD is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or any other characteristic protected by law. JBRP1_UKTJ
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. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) 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's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. 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.
Dec 09, 2025
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. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) 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's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) caf s or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Dec 09, 2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) caf s or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Our growing business has been all about British apples and pears since 1947. From father to son, every day for over 75 years, our family business is growing. We innovate and change but our values always stay the same. We re a team who pride ourselves on the Goatham s way, passionate about growing the very best quality British apples and pears. An opportunity has arisen for a dynamic and diligent electrically biased Multi-Skilled Engineer to join our Engineering team. The purpose of this role is to support with and facilitate the planned, preventative and routine maintenance of a range of equipment and machinery on site to ensure the smooth running of our facility. Responsibilities may include: To ensure all machines and equipment are maintained to the optimum standards through adequate maintenance Using fault finding techniques, react quickly to faults and breakdowns, communicating clearly with affected parties and working efficiently to fix the issue. Minimise the likelihood of breakdowns by keeping equipment in a good state of repair and seeking continuous improvement opportunities by looking for ways to reduce the cost impact to the business as a result of downtime and ensuring a systematic planned maintenance programme is in place Communicate with production teams to advance plan for downtime on machinery for service/modification or repairs that need carrying out Maintaining a stock of critical spare parts as well as ordering parts for service and repair work Ensuring work is carried out in a safe and efficient manner and in accordance with health and safety regulations Assisting with the installation and commissioning of new equipment Maintaining technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks and benchmarking best-practice Our perfect Multi-Skilled Engineer would have: Proven experience of working as a Multi-Skilled Engineer in a similar manufacturing environment An electrical apprenticeship served (City & Guilds), HNC, ONC, NVQ Level 3, 18th Edition or similar A strong electrical basis with mechanical skills A strong awareness of and full commitment to the adherence of health and safety guidelines A proactive approach with a focus on driving improvement Excellent attention to detail; strong diagnostic and problem-solving skills Experience of using CMMS (Computerised Maintenance Management Systems) Effective communication skills; can engage with all levels of the business with a minimum of B2 in English The ability to manage multiple tasks with the ability to reprioritise whilst continuing to manage expectations PLC fault finding & diagnostics experience The hours you would work: A 4 on 4 off rotating shift comprising of 07:00-19:00 and 12:00-24:00. During peak periods, shifts may change to 09:00-21:00 What else we can offer you: 22.5 days holiday including bank holidays (with an opportunity to earn more holiday based on your length of service) Pension scheme Fortnightly pay Learning and development opportunities Discretionary Christmas bonus Free onsite parking Access to free Wi-Fi Free fresh fruit!
Dec 09, 2025
Full time
Our growing business has been all about British apples and pears since 1947. From father to son, every day for over 75 years, our family business is growing. We innovate and change but our values always stay the same. We re a team who pride ourselves on the Goatham s way, passionate about growing the very best quality British apples and pears. An opportunity has arisen for a dynamic and diligent electrically biased Multi-Skilled Engineer to join our Engineering team. The purpose of this role is to support with and facilitate the planned, preventative and routine maintenance of a range of equipment and machinery on site to ensure the smooth running of our facility. Responsibilities may include: To ensure all machines and equipment are maintained to the optimum standards through adequate maintenance Using fault finding techniques, react quickly to faults and breakdowns, communicating clearly with affected parties and working efficiently to fix the issue. Minimise the likelihood of breakdowns by keeping equipment in a good state of repair and seeking continuous improvement opportunities by looking for ways to reduce the cost impact to the business as a result of downtime and ensuring a systematic planned maintenance programme is in place Communicate with production teams to advance plan for downtime on machinery for service/modification or repairs that need carrying out Maintaining a stock of critical spare parts as well as ordering parts for service and repair work Ensuring work is carried out in a safe and efficient manner and in accordance with health and safety regulations Assisting with the installation and commissioning of new equipment Maintaining technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks and benchmarking best-practice Our perfect Multi-Skilled Engineer would have: Proven experience of working as a Multi-Skilled Engineer in a similar manufacturing environment An electrical apprenticeship served (City & Guilds), HNC, ONC, NVQ Level 3, 18th Edition or similar A strong electrical basis with mechanical skills A strong awareness of and full commitment to the adherence of health and safety guidelines A proactive approach with a focus on driving improvement Excellent attention to detail; strong diagnostic and problem-solving skills Experience of using CMMS (Computerised Maintenance Management Systems) Effective communication skills; can engage with all levels of the business with a minimum of B2 in English The ability to manage multiple tasks with the ability to reprioritise whilst continuing to manage expectations PLC fault finding & diagnostics experience The hours you would work: A 4 on 4 off rotating shift comprising of 07:00-19:00 and 12:00-24:00. During peak periods, shifts may change to 09:00-21:00 What else we can offer you: 22.5 days holiday including bank holidays (with an opportunity to earn more holiday based on your length of service) Pension scheme Fortnightly pay Learning and development opportunities Discretionary Christmas bonus Free onsite parking Access to free Wi-Fi Free fresh fruit!
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Dec 09, 2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) 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's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. 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.
Dec 09, 2025
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. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) 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's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. 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.
