Applied analytics for RF hardware, signal processing and machine learning South Cambs / Essex; £60,000 to £90,000 DoE This applied AI start-up has proprietary technology around ML modelling for RF signal characterisation and modification. Their solutions have significance for military applications around drone detection and defence. Due to further projects, they are looking to recruit a Senior Data Scientist Research Engineer to take a leading role on their applied RF work and help advance their signal processing pipelines, and ultimately develop next generation prototype technologies. You re likely be a PhD holder in electronics, physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding of RF hardware (antenna, filters, mixers) including baseband data. - Experience analysing wireless protocols (Wi-Fi, LTE, LoRa). Due to the engineering aspects of projects, the ability to confidently use RF lab equipment (spectrum analysers, signal generators) would be desirable. Similarly, any exposure to embedded or real-time systems; MATLAB, C++ or Rust; or RF circuit fundamentals would be beneficial. Your application would significantly stand-out if you have publications or patents in RF-ML, especially relating to drone / autonomous technologies. Due to the nature of projects, the role would be fully onsite at offices based close to the Cambridgeshire and Essex border (commuting by car from Cambridge, Chelmsford, Royston, Bishop's Stortford is all possible). On offer is an excellent opportunity to join this start-up, work with like-minded people on interesting projects with real world applied impact. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27540 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Dec 11, 2025
Full time
Applied analytics for RF hardware, signal processing and machine learning South Cambs / Essex; £60,000 to £90,000 DoE This applied AI start-up has proprietary technology around ML modelling for RF signal characterisation and modification. Their solutions have significance for military applications around drone detection and defence. Due to further projects, they are looking to recruit a Senior Data Scientist Research Engineer to take a leading role on their applied RF work and help advance their signal processing pipelines, and ultimately develop next generation prototype technologies. You re likely be a PhD holder in electronics, physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding of RF hardware (antenna, filters, mixers) including baseband data. - Experience analysing wireless protocols (Wi-Fi, LTE, LoRa). Due to the engineering aspects of projects, the ability to confidently use RF lab equipment (spectrum analysers, signal generators) would be desirable. Similarly, any exposure to embedded or real-time systems; MATLAB, C++ or Rust; or RF circuit fundamentals would be beneficial. Your application would significantly stand-out if you have publications or patents in RF-ML, especially relating to drone / autonomous technologies. Due to the nature of projects, the role would be fully onsite at offices based close to the Cambridgeshire and Essex border (commuting by car from Cambridge, Chelmsford, Royston, Bishop's Stortford is all possible). On offer is an excellent opportunity to join this start-up, work with like-minded people on interesting projects with real world applied impact. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27540 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Senior Data Engineer London 2-3 days on-site 65,000 - 72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
Dec 11, 2025
Full time
Senior Data Engineer London 2-3 days on-site 65,000 - 72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
Senior Data Engineer London 2-3 days on-site £65,000 - £72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Databricks Strong working knowledge Azure Strong knowledge of data modelling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
Dec 10, 2025
Full time
Senior Data Engineer London 2-3 days on-site £65,000 - £72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Databricks Strong working knowledge Azure Strong knowledge of data modelling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
Data Scientist - 6-Month Contract (Inside IR35) Rate: 400 per day Location: Mostly remote with occasional visits to London office Clearance: BPSS clearable Start: Jan 2026 We're looking for an experienced Data Scientist to join a 6-month project focused on improving healthcare screening strategies. You'll work on impactful questions around population changes, geographical factors, and operational models for screening services. Key Requirements: Strong skills in Python, Pandas, SQL, and data wrangling Experience with BI tools and data visualization Previous medical sector experience is essential BPSS clearability Comfortable working in Agile environments What's in it for you? Mostly remote working Opportunity to make a real difference in healthcare delivery Collaborative and dynamic team environment To discuss this role further please submit your CV or contact Brandon Forbes Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Dec 10, 2025
Contractor
Data Scientist - 6-Month Contract (Inside IR35) Rate: 400 per day Location: Mostly remote with occasional visits to London office Clearance: BPSS clearable Start: Jan 2026 We're looking for an experienced Data Scientist to join a 6-month project focused on improving healthcare screening strategies. You'll work on impactful questions around population changes, geographical factors, and operational models for screening services. Key Requirements: Strong skills in Python, Pandas, SQL, and data wrangling Experience with BI tools and data visualization Previous medical sector experience is essential BPSS clearability Comfortable working in Agile environments What's in it for you? Mostly remote working Opportunity to make a real difference in healthcare delivery Collaborative and dynamic team environment To discuss this role further please submit your CV or contact Brandon Forbes Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
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 Mineral / Hydrogen Geoscientist 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. We are looking to recruit a Geoscientist to work within our Subsurface teams based in our Abingdon office, Oxfordshire. Essential Skills: An honours degree (2:1+) and ideally a postgraduate degree in Geology (at least MSc level), with a hard rock focus Experience in communicating value to customers or stakeholders Data analytical skills and knowledge of databases Ability to deliver high quality geoscience interpretations to time and standard Experience with GIS technologies such as QGIS, ArcGIS A professional attitude and a willingness to learn Comfortable working within a team and contributing to the geoscience and technological discussions within the company Desirable Skills: Two to five years' experience in the mining industry/mineral exploration Exposure to Precambrian geology Experience with coding and analytical languages such as Python, SQL, PostgreSQL etc. Strong communication skills, with experience presenting technical work Experience with FME Desktop or FME Server/Cloud Experience of wireline and seismic interpretation would be advantageous Responsibilities include: Generation of mineral system screening and prospectivity maps to assess key commodities and deliver insights to clients Delivering technical presentations to clients and colleagues The interpretation and analysis of a wide range of geoscientific data Population of geoscience databases Making interpretative geoscience contributions towards the digital twin Ensuring standards and quality 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: 204381 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 Mineral / Hydrogen Geoscientist 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. We are looking to recruit a Geoscientist to work within our Subsurface teams based in our Abingdon office, Oxfordshire. Essential Skills: An honours degree (2:1+) and ideally a postgraduate degree in Geology (at least MSc level), with a hard rock focus Experience in communicating value to customers or stakeholders Data analytical skills and knowledge of databases Ability to deliver high quality geoscience interpretations to time and standard Experience with GIS technologies such as QGIS, ArcGIS A professional attitude and a willingness to learn Comfortable working within a team and contributing to the geoscience and technological discussions within the company Desirable Skills: Two to five years' experience in the mining industry/mineral exploration Exposure to Precambrian geology Experience with coding and analytical languages such as Python, SQL, PostgreSQL etc. Strong communication skills, with experience presenting technical work Experience with FME Desktop or FME Server/Cloud Experience of wireline and seismic interpretation would be advantageous Responsibilities include: Generation of mineral system screening and prospectivity maps to assess key commodities and deliver insights to clients Delivering technical presentations to clients and colleagues The interpretation and analysis of a wide range of geoscientific data Population of geoscience databases Making interpretative geoscience contributions towards the digital twin Ensuring standards and quality 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: 204381 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.
Starting salary £23,500 + plus benefits and welcome bonus Office based in Aldermaston, nr Reading, Berkshire. We are offering a rewarding and exciting one-year placement as an Undergraduate Scientist at AWE - a role where you will make a genuine contribution to keeping the UK safe and secure. Entry Requirements We are interested in applications from candidates working towards a degree in: Physics (Theoretical & Applied, Mathematics, Data Science, Structural Engineers, Computer Science Before starting with the business, you will need to be able to provide evidence that you have attained a minimum of a 2:2 in your degree so far by August 2026. You must be able to Join AWE in August 2026. We recruit on a rolling basis which means as soon as our positions have been filled, we will close. What to Expect on the Programme As an Undergraduate student within our physics function you will be working within a small team to apply your skills and knowledge to support the full lifecycle of warhead components and technologies. We have a diverse range of teams who work to support the delivery of our mission that focus on; Radiation detection measurements and analysis, photon, electron and neutron modelling codes e.g. MCNP, Simulating and measuring material properties in exotic states of matter such as those found in the centre of stars and planets, developing new and novel computational algorithms to solve physics problems and complex mathematical assessment to name just a few! During the programme, youll focus mainly on one or two projects or areas, gaining a deep insight into the work that is done. Youll be supported by a line manager and a mentor, who will help you to navigate your time with us and support you in developing the skills to build your career within the defence industry. Your on-programme learning will combine a corporate induction to help you find your feet, on-job training and some classroom-based or online learning depending on your role. Alongside this, your off-programme learning will include being part in an undergraduate group project team focusing on a business deliverable. We will give you every opportunity to network with other undergraduates, as well as the graduate community, so you can start building your business contacts at AWE. Benefits: £23,500 salary Holiday entitlement of 270 hours of leave annually including bank holidays Excellent work/life balance and a vibrant and welcoming grad social scene 9-day working fortnight - so every other Friday off A salary-sacrifice benefit scheme A welcome payment Potential to secure a Graduate role for when you finish university, subject to availability Access to savings on a wide range of everyday spending across retail, hospitality and leisure Access to our Employee Assistance Programme Access to our Occupational Health Services Application Process: Our process is designed to be simple, fair and transparent: Online Application Opens 15th September. Explore the option and apply for one pathway that best suits your interests and goals. Online Tests If shortlisted, youll complete numerical, verbal, logical and cognitive assessments. Practice materials will be available to ensure you know what to expect. Virtual Assessment Centre Successful candidates will be invited to virtual ACs running NovDec 2025, with pre-assessment webinars to guide you. You must be a British National, able to start in August 2026, and eligible for security clearance. Applications close on Friday 24th October, but will close earlier if we receive enough applications, so apply early. Support & Inclusion: We welcome diverse applicants and strive to create a workplace where differences are recognised and celebrated. We encourage requests for reasonable adjustments if required, to ensure you feel able to perform your best. Any information you share will be used only to support you through the process in line with GDPR. Why AWE?: Build leadership skills, self-awareness, and teamwork. Join a vibrant early careers community with events, ERGs and networking opportunities. Benefit from continual support: a line manager, pathway lead, and buddy to guide your journey. Who Were Looking For: Curious, problem-solvers with integrity, resilience, and a collaborative mindset. Youll thrive if youre eager to grow and ready to apply your skills to real-world challenges. JBRP1_UKTJ
Dec 10, 2025
Full time
Starting salary £23,500 + plus benefits and welcome bonus Office based in Aldermaston, nr Reading, Berkshire. We are offering a rewarding and exciting one-year placement as an Undergraduate Scientist at AWE - a role where you will make a genuine contribution to keeping the UK safe and secure. Entry Requirements We are interested in applications from candidates working towards a degree in: Physics (Theoretical & Applied, Mathematics, Data Science, Structural Engineers, Computer Science Before starting with the business, you will need to be able to provide evidence that you have attained a minimum of a 2:2 in your degree so far by August 2026. You must be able to Join AWE in August 2026. We recruit on a rolling basis which means as soon as our positions have been filled, we will close. What to Expect on the Programme As an Undergraduate student within our physics function you will be working within a small team to apply your skills and knowledge to support the full lifecycle of warhead components and technologies. We have a diverse range of teams who work to support the delivery of our mission that focus on; Radiation detection measurements and analysis, photon, electron and neutron modelling codes e.g. MCNP, Simulating and measuring material properties in exotic states of matter such as those found in the centre of stars and planets, developing new and novel computational algorithms to solve physics problems and complex mathematical assessment to name just a few! During the programme, youll focus mainly on one or two projects or areas, gaining a deep insight into the work that is done. Youll be supported by a line manager and a mentor, who will help you to navigate your time with us and support you in developing the skills to build your career within the defence industry. Your on-programme learning will combine a corporate induction to help you find your feet, on-job training and some classroom-based or online learning depending on your role. Alongside this, your off-programme learning will include being part in an undergraduate group project team focusing on a business deliverable. We will give you every opportunity to network with other undergraduates, as well as the graduate community, so you can start building your business contacts at AWE. Benefits: £23,500 salary Holiday entitlement of 270 hours of leave annually including bank holidays Excellent work/life balance and a vibrant and welcoming grad social scene 9-day working fortnight - so every other Friday off A salary-sacrifice benefit scheme A welcome payment Potential to secure a Graduate role for when you finish university, subject to availability Access to savings on a wide range of everyday spending across retail, hospitality and leisure Access to our Employee Assistance Programme Access to our Occupational Health Services Application Process: Our process is designed to be simple, fair and transparent: Online Application Opens 15th September. Explore the option and apply for one pathway that best suits your interests and goals. Online Tests If shortlisted, youll complete numerical, verbal, logical and cognitive assessments. Practice materials will be available to ensure you know what to expect. Virtual Assessment Centre Successful candidates will be invited to virtual ACs running NovDec 2025, with pre-assessment webinars to guide you. You must be a British National, able to start in August 2026, and eligible for security clearance. Applications close on Friday 24th October, but will close earlier if we receive enough applications, so apply early. Support & Inclusion: We welcome diverse applicants and strive to create a workplace where differences are recognised and celebrated. We encourage requests for reasonable adjustments if required, to ensure you feel able to perform your best. Any information you share will be used only to support you through the process in line with GDPR. Why AWE?: Build leadership skills, self-awareness, and teamwork. Join a vibrant early careers community with events, ERGs and networking opportunities. Benefit from continual support: a line manager, pathway lead, and buddy to guide your journey. Who Were Looking For: Curious, problem-solvers with integrity, resilience, and a collaborative mindset. Youll thrive if youre eager to grow and ready to apply your skills to real-world challenges. JBRP1_UKTJ
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Recruiter in the BCG X Global Recruiting Team, you will support talent acquisition activities with responsibility for vacancy management and recruiting operations for various capabilities within BCG X. In this full lifecycle recruiter role you will be responsible for campus recruiting activities, talent selection, candidate sourcing, event organization, stakeholder management, vendor management, offer management and on-boarding. As a recruiter you'll be mainly in charge of talent acquisition activities for our office in London. Working in close partnership with the regional and global teams, the role will also have wider responsibilities - supporting regional projects, operational effectiveness and recruitment best practice across the region. YOU'RE GOOD AT Full lifecycle management of vacancies with primary focus on various capabilities within the analytics function, e.g. Interns, Data Scientists, Software Engineers Manage key stakeholder relationships as a trusted partner, building a deep understanding of the business, role requirements and desired candidate profiles Take full ownership of campus recruiting activities, coordinate & execute events, from screening applications to planning content, as well as attending events Manage recruitment campaigns for any volume hiring needs or brand building events in close cooperation with Consulting Team recruiting Identify talent pools and high-quality candidates through the proactive sourcing of active and passive candidates via direct channels, job postings, social media, talent mapping, vendors, networking Manage candidates throughout the interview process from prepping before interviews to final offer while providing a competency-based assessment and candidate recommendation to the hiring panel Manage and coordinate the internship program, from recruiting to performance reviews Build talent pipelines to fill current and future roles to drive improvements in time to hire Utilize the applicant tracking system to actively track, manage and report on candidate pipelines Provide excellent candidate experience through efficient process management Coordinate and push internal initiatives, support projects, build internal networks What You'll Bring Bachelors or master's degree with high academic achievement 2+ years of work experience in recruitment/talent acquisition, prior experience within the analytics consulting, professional services areas or in-house recruitment experience with an international organization preferred Coordination, organizational, and improvisation talent, able to perform in a fast changing environment Strong interest and first experience in campus recruiting & event management Knowledge of utilizing LinkedIn Recruiter for successful hires Clear and effective written and verbal communication skills Enthusiastic with a positive "can-do" attitude, love working as part of a team and coming up with creative ideas together. At the same time, like to take responsibility for your own projects Proficiency with Microsoft Office Ability to interact effectively with key recruitment stakeholders and other teams, such as HR, Staffing, Consulting teams Fluent in English Who You'll Work With The BCG X People Team to attract and select top talent through: Best in class recruiting excellence, innovative sourcing, and an engaging talent brand. Additional info BCG X is the tech build & design unit of BCG. Turbocharging BCG's deep industry and functional expertise, BCG X brings together advanced tech knowledge and ambitious entrepreneurship to help organizations enable innovation at scale. With nearly 3,000 technologists, scientists, programmers, engineers, and human-centered designers located across 80+ cities, BCG X builds and designs platforms and software to address the world's most important challenges and opportunities. Teaming across our practices, and in close collaboration with our clients, our end-to-end global team unlocks new possibilities. Together we're creating the bold and disruptive products, services, and businesses of tomorrow. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Dec 10, 2025
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Recruiter in the BCG X Global Recruiting Team, you will support talent acquisition activities with responsibility for vacancy management and recruiting operations for various capabilities within BCG X. In this full lifecycle recruiter role you will be responsible for campus recruiting activities, talent selection, candidate sourcing, event organization, stakeholder management, vendor management, offer management and on-boarding. As a recruiter you'll be mainly in charge of talent acquisition activities for our office in London. Working in close partnership with the regional and global teams, the role will also have wider responsibilities - supporting regional projects, operational effectiveness and recruitment best practice across the region. YOU'RE GOOD AT Full lifecycle management of vacancies with primary focus on various capabilities within the analytics function, e.g. Interns, Data Scientists, Software Engineers Manage key stakeholder relationships as a trusted partner, building a deep understanding of the business, role requirements and desired candidate profiles Take full ownership of campus recruiting activities, coordinate & execute events, from screening applications to planning content, as well as attending events Manage recruitment campaigns for any volume hiring needs or brand building events in close cooperation with Consulting Team recruiting Identify talent pools and high-quality candidates through the proactive sourcing of active and passive candidates via direct channels, job postings, social media, talent mapping, vendors, networking Manage candidates throughout the interview process from prepping before interviews to final offer while providing a competency-based assessment and candidate recommendation to the hiring panel Manage and coordinate the internship program, from recruiting to performance reviews Build talent pipelines to fill current and future roles to drive improvements in time to hire Utilize the applicant tracking system to actively track, manage and report on candidate pipelines Provide excellent candidate experience through efficient process management Coordinate and push internal initiatives, support projects, build internal networks What You'll Bring Bachelors or master's degree with high academic achievement 2+ years of work experience in recruitment/talent acquisition, prior experience within the analytics consulting, professional services areas or in-house recruitment experience with an international organization preferred Coordination, organizational, and improvisation talent, able to perform in a fast changing environment Strong interest and first experience in campus recruiting & event management Knowledge of utilizing LinkedIn Recruiter for successful hires Clear and effective written and verbal communication skills Enthusiastic with a positive "can-do" attitude, love working as part of a team and coming up with creative ideas together. At the same time, like to take responsibility for your own projects Proficiency with Microsoft Office Ability to interact effectively with key recruitment stakeholders and other teams, such as HR, Staffing, Consulting teams Fluent in English Who You'll Work With The BCG X People Team to attract and select top talent through: Best in class recruiting excellence, innovative sourcing, and an engaging talent brand. Additional info BCG X is the tech build & design unit of BCG. Turbocharging BCG's deep industry and functional expertise, BCG X brings together advanced tech knowledge and ambitious entrepreneurship to help organizations enable innovation at scale. With nearly 3,000 technologists, scientists, programmers, engineers, and human-centered designers located across 80+ cities, BCG X builds and designs platforms and software to address the world's most important challenges and opportunities. Teaming across our practices, and in close collaboration with our clients, our end-to-end global team unlocks new possibilities. Together we're creating the bold and disruptive products, services, and businesses of tomorrow. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Entity: Technology Job Family Group: Business Support Group Job Description: About bp bp is a global company that offers a world of opportunities for professionals as well as those starting out in their career. Were guided by our purpose and ambition to become a net zero company by 2050 or sooner, and help the world get there too. What does this mean for you? It means you can expect purposeful work, world-class training and the flexibility to realize your full potential. Not to mention the chance to join a company committed to delivering more sustainable energy for all. Ready to crack on? Your perfect job match awaits. About innovation analytics The global innovation analytics team has skills and technical expertise in analytical chemistry, materials science, product characterisation and computational sciences all performed within world class laboratory facilities in Pangbourne, Hull, Bochum and Shanghai. The team in Pangbourne are responsible for fast, high quality analytical testing and investigational analysis using state of the art instrumentation to support the bp business and to appraise and develop new low carbon technologies. Early careers experience at bp The One Science early careers programme provides arange of foundational career experiences and a gatewayto an exciting and rewarding career. This apprenticeship will be 2 years and 4 months long. During this time, youll work on different projects alongside learning day to day operations, to become a rounded professional. Alongside your formal apprenticeship, youll also complete our Elevate training programme which provides a framework of non-technical skills to support building personal effectiveness, helping you to grow both personally and professionally. Throughout the program youll have a dedicated support network to provide guidance on the program and advice on career development. Youll also be a key part of the bp early careers community, with events, socials and the opportunity to network with other early careers from across bp. Role and responsibilities As an apprentice you will join our multi-discipline team of discipline experts, scientists and technologists. We offer an exceptional working environment to learn and develop your skills set in an on-the-job setting, as well as supporting coordinated learning opportunities in areas such as health and safety. Working with us you will develop broad analytical laboratory skills, building confidence in providing accurate testing results that address specific project requirements. As your skills develop you will contribute to meeting technical and research needs, providing outstanding science, delivering routine and bespoke analysis and achieving research goals. You will spend your time in real working environments learning tangible skills whilst gaining a laboratory technician qualification. Skills and Knowledge Development Areas: Working safely in a laboratory environment, maintaining excellent housekeeping standards, appreciating workplace risks, and meeting regulatory compliance through following appropriate safety, environment, and risk management systems. Understanding and following procedures to meet the requirements of quality standards relevant to the workplace and safely operating analytical equipment. Demonstrating technical skills in the use of specified instrumentation and laboratory equipment, including calibration where required. Planning and preparing for laboratory tasks using the appropriate scientific techniques and methodologies. Producing reliable and accurate data and where required keep detailed records of laboratory work undertaken and results. Analysing, interpreting, and evaluating data using a range of computational modelling software. Understanding and applying statistical techniques for data presentation. Communicating scientific information appropriately including the sharing of results to the wider team and the use of the global laboratory information management systems. Recognising problems and applying appropriate scientific methods to identify root causes and achieve solutions. Apprentices will receive a programme of highly relevant supervised structured hands on training to develop the capabilities and range of skills that will be needed to perform work related activities within this environment. There is a strong emphasis on teamwork and the development of personal skills and behaviours. The research technologist apprenticeship will complete a two-year level 3 Laboratory Technician Apprenticeship course, leading to either a BTEC Level 3 Foundation Diploma in Applied Science or a Level 4 HNC depending on your previous academic attainment. Laboratory technician / Skills England For which the provider is likely to be CSR, however, may be subject to change. Level 3 Laboratory Technician - CSR Group Scientific Training Requirements To apply, you must be aged 18 or over at the start of the programme in September 2026. If youre studying A-levels or completing further education, you must be due to complete your qualification/s in 2026 (were unable to progress applications for students who will be part way through their studies when the programme starts). Youll also need to have: GCSE qualifications A -C or 9-4 in English, Maths and Science Candidates who wish to complete the level 4 HNC will also need to have A level Chemistry at grade C / BTEC Applied Science at Merit (32 UCAS points) Applicants with a relevant level 3 apprenticeship qualification will also be considered Qualifications should be checked to ensure the requisite points are met Calculate your UCAS Tariff points Undergraduate, Conservatoires UCAS In addition, under the apprenticeship levy rules, the following applies to all apprentices: Must be a citizen of an EEA/EU country (including the UK) and have lived in the EEA/EU for the last three years; OR if you are a non- EEA/EU citizen but have permission to live and work in the UK and have been ordinarily resident in the UK for the last three years?. Cannot already have a qualification at the same level or higher as the apprenticeship you are applying for?. Cannot be currently undertaking another professional qualification that is Government funded (e.g. another apprenticeship). This programme is designed for school / college leavers and other individuals who do not have a degree. If you have a university degree, please apply to our student and graduate opportunities. Location(s) This role is likely to be based out of the following UK office: bp Technology Centre - Whitchurch Hill, Pangbourne, Reading, Berkshire, RG8 7QR Start Date 7 September 2026 Other Information Please note the following when applying: You can only apply to one bp early careers opportunity globally per academic year within this time, we will only process the first application you make. You will be withdrawn from any subsequent applications. Assessment centres are a key part of the process and will be in person bp will cover reasonable travel and accommodation costs, in line with the travel policy which will be shared with you. Please ensure you will be available to attend in person. Accommodation once confirmed, where you need or decide to move closer to your location, you are responsible for organising and funding this accommodation. Adjustments We are keen to make our recruitment process accessible to all. If you require any adjustments/accommodations, to any stage of the recruitment process, please mention this in the allocated section on your initial application form. Someone will then be in touch to discuss or confirm the adjustments/accommodations as appropriate for you. Alternatively, if you would like to discuss adjustments before applying, please get in touch: T: E: Reward Starting salary: £19,600 Sign on bonus: £3,000 (One off payment, subject to tax and national insurance) Wellbeing allowance: Claim up to £1,500 each calendar year (subject to tax and national insurance) for products and services that contribute to physical, mental, financial and social wellbeing Flexible benefits: In addition to your base salary, youll receive a flexible allowance (currently 20% of your base salary) that you can take as cash or use to buy a range of extra benefits, such as a pension, critical illness, dental care, personal accident and travel insurance, and our cycle to work scheme. Discretionary annual bonus scheme: Details of applicable bonus scheme and rules will be available on joining. Private medical insurance: Well pay for private healthcare, and you only pay an income tax charge. bp share plans: You can choose to take part in our share plan and buy bp shares every month. Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression . click apply for full job details
Dec 10, 2025
Full time
Entity: Technology Job Family Group: Business Support Group Job Description: About bp bp is a global company that offers a world of opportunities for professionals as well as those starting out in their career. Were guided by our purpose and ambition to become a net zero company by 2050 or sooner, and help the world get there too. What does this mean for you? It means you can expect purposeful work, world-class training and the flexibility to realize your full potential. Not to mention the chance to join a company committed to delivering more sustainable energy for all. Ready to crack on? Your perfect job match awaits. About innovation analytics The global innovation analytics team has skills and technical expertise in analytical chemistry, materials science, product characterisation and computational sciences all performed within world class laboratory facilities in Pangbourne, Hull, Bochum and Shanghai. The team in Pangbourne are responsible for fast, high quality analytical testing and investigational analysis using state of the art instrumentation to support the bp business and to appraise and develop new low carbon technologies. Early careers experience at bp The One Science early careers programme provides arange of foundational career experiences and a gatewayto an exciting and rewarding career. This apprenticeship will be 2 years and 4 months long. During this time, youll work on different projects alongside learning day to day operations, to become a rounded professional. Alongside your formal apprenticeship, youll also complete our Elevate training programme which provides a framework of non-technical skills to support building personal effectiveness, helping you to grow both personally and professionally. Throughout the program youll have a dedicated support network to provide guidance on the program and advice on career development. Youll also be a key part of the bp early careers community, with events, socials and the opportunity to network with other early careers from across bp. Role and responsibilities As an apprentice you will join our multi-discipline team of discipline experts, scientists and technologists. We offer an exceptional working environment to learn and develop your skills set in an on-the-job setting, as well as supporting coordinated learning opportunities in areas such as health and safety. Working with us you will develop broad analytical laboratory skills, building confidence in providing accurate testing results that address specific project requirements. As your skills develop you will contribute to meeting technical and research needs, providing outstanding science, delivering routine and bespoke analysis and achieving research goals. You will spend your time in real working environments learning tangible skills whilst gaining a laboratory technician qualification. Skills and Knowledge Development Areas: Working safely in a laboratory environment, maintaining excellent housekeeping standards, appreciating workplace risks, and meeting regulatory compliance through following appropriate safety, environment, and risk management systems. Understanding and following procedures to meet the requirements of quality standards relevant to the workplace and safely operating analytical equipment. Demonstrating technical skills in the use of specified instrumentation and laboratory equipment, including calibration where required. Planning and preparing for laboratory tasks using the appropriate scientific techniques and methodologies. Producing reliable and accurate data and where required keep detailed records of laboratory work undertaken and results. Analysing, interpreting, and evaluating data using a range of computational modelling software. Understanding and applying statistical techniques for data presentation. Communicating scientific information appropriately including the sharing of results to the wider team and the use of the global laboratory information management systems. Recognising problems and applying appropriate scientific methods to identify root causes and achieve solutions. Apprentices will receive a programme of highly relevant supervised structured hands on training to develop the capabilities and range of skills that will be needed to perform work related activities within this environment. There is a strong emphasis on teamwork and the development of personal skills and behaviours. The research technologist apprenticeship will complete a two-year level 3 Laboratory Technician Apprenticeship course, leading to either a BTEC Level 3 Foundation Diploma in Applied Science or a Level 4 HNC depending on your previous academic attainment. Laboratory technician / Skills England For which the provider is likely to be CSR, however, may be subject to change. Level 3 Laboratory Technician - CSR Group Scientific Training Requirements To apply, you must be aged 18 or over at the start of the programme in September 2026. If youre studying A-levels or completing further education, you must be due to complete your qualification/s in 2026 (were unable to progress applications for students who will be part way through their studies when the programme starts). Youll also need to have: GCSE qualifications A -C or 9-4 in English, Maths and Science Candidates who wish to complete the level 4 HNC will also need to have A level Chemistry at grade C / BTEC Applied Science at Merit (32 UCAS points) Applicants with a relevant level 3 apprenticeship qualification will also be considered Qualifications should be checked to ensure the requisite points are met Calculate your UCAS Tariff points Undergraduate, Conservatoires UCAS In addition, under the apprenticeship levy rules, the following applies to all apprentices: Must be a citizen of an EEA/EU country (including the UK) and have lived in the EEA/EU for the last three years; OR if you are a non- EEA/EU citizen but have permission to live and work in the UK and have been ordinarily resident in the UK for the last three years?. Cannot already have a qualification at the same level or higher as the apprenticeship you are applying for?. Cannot be currently undertaking another professional qualification that is Government funded (e.g. another apprenticeship). This programme is designed for school / college leavers and other individuals who do not have a degree. If you have a university degree, please apply to our student and graduate opportunities. Location(s) This role is likely to be based out of the following UK office: bp Technology Centre - Whitchurch Hill, Pangbourne, Reading, Berkshire, RG8 7QR Start Date 7 September 2026 Other Information Please note the following when applying: You can only apply to one bp early careers opportunity globally per academic year within this time, we will only process the first application you make. You will be withdrawn from any subsequent applications. Assessment centres are a key part of the process and will be in person bp will cover reasonable travel and accommodation costs, in line with the travel policy which will be shared with you. Please ensure you will be available to attend in person. Accommodation once confirmed, where you need or decide to move closer to your location, you are responsible for organising and funding this accommodation. Adjustments We are keen to make our recruitment process accessible to all. If you require any adjustments/accommodations, to any stage of the recruitment process, please mention this in the allocated section on your initial application form. Someone will then be in touch to discuss or confirm the adjustments/accommodations as appropriate for you. Alternatively, if you would like to discuss adjustments before applying, please get in touch: T: E: Reward Starting salary: £19,600 Sign on bonus: £3,000 (One off payment, subject to tax and national insurance) Wellbeing allowance: Claim up to £1,500 each calendar year (subject to tax and national insurance) for products and services that contribute to physical, mental, financial and social wellbeing Flexible benefits: In addition to your base salary, youll receive a flexible allowance (currently 20% of your base salary) that you can take as cash or use to buy a range of extra benefits, such as a pension, critical illness, dental care, personal accident and travel insurance, and our cycle to work scheme. Discretionary annual bonus scheme: Details of applicable bonus scheme and rules will be available on joining. Private medical insurance: Well pay for private healthcare, and you only pay an income tax charge. bp share plans: You can choose to take part in our share plan and buy bp shares every month. Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression . click apply for full job details
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Recruiter in the BCG X Global Recruiting Team, you will support talent acquisition activities with responsibility for vacancy management and recruiting operations for various capabilities within BCG X. In this full lifecycle recruiter role you will be responsible for campus recruiting activities, talent selection, candidate sourcing, event organization, stakeholder management, vendor management, offer management and on-boarding. As a recruiter you'll be mainly in charge of talent acquisition activities for our office in London. Working in close partnership with the regional and global teams, the role will also have wider responsibilities - supporting regional projects, operational effectiveness and recruitment best practice across the region. YOU'RE GOOD AT Full lifecycle management of vacancies with primary focus on various capabilities within the analytics function, e.g. Interns, Data Scientists, Software Engineers Manage key stakeholder relationships as a trusted partner, building a deep understanding of the business, role requirements and desired candidate profiles Take full ownership of campus recruiting activities, coordinate & execute events, from screening applications to planning content, as well as attending events Manage recruitment campaigns for any volume hiring needs or brand building events in close cooperation with Consulting Team recruiting Identify talent pools and high-quality candidates through the proactive sourcing of active and passive candidates via direct channels, job postings, social media, talent mapping, vendors, networking Manage candidates throughout the interview process from prepping before interviews to final offer while providing a competency-based assessment and candidate recommendation to the hiring panel Manage and coordinate the internship program, from recruiting to performance reviews Build talent pipelines to fill current and future roles to drive improvements in time to hire Utilize the applicant tracking system to actively track, manage and report on candidate pipelines Provide excellent candidate experience through efficient process management Coordinate and push internal initiatives, support projects, build internal networks What You'll Bring Bachelors or master's degree with high academic achievement 2+ years of work experience in recruitment/talent acquisition, prior experience within the analytics consulting, professional services areas or in-house recruitment experience with an international organization preferred Coordination, organizational, and improvisation talent, able to perform in a fast changing environment Strong interest and first experience in campus recruiting & event management Knowledge of utilizing LinkedIn Recruiter for successful hires Clear and effective written and verbal communication skills Enthusiastic with a positive "can-do" attitude, love working as part of a team and coming up with creative ideas together. At the same time, like to take responsibility for your own projects Proficiency with Microsoft Office Ability to interact effectively with key recruitment stakeholders and other teams, such as HR, Staffing, Consulting teams Fluent in English Who You'll Work With The BCG X People Team to attract and select top talent through: Best in class recruiting excellence, innovative sourcing, and an engaging talent brand. Additional info BCG X is the tech build & design unit of BCG. Turbocharging BCG's deep industry and functional expertise, BCG X brings together advanced tech knowledge and ambitious entrepreneurship to help organizations enable innovation at scale. With nearly 3,000 technologists, scientists, programmers, engineers, and human-centered designers located across 80+ cities, BCG X builds and designs platforms and software to address the world's most important challenges and opportunities. Teaming across our practices, and in close collaboration with our clients, our end-to-end global team unlocks new possibilities. Together we're creating the bold and disruptive products, services, and businesses of tomorrow. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Dec 10, 2025
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Recruiter in the BCG X Global Recruiting Team, you will support talent acquisition activities with responsibility for vacancy management and recruiting operations for various capabilities within BCG X. In this full lifecycle recruiter role you will be responsible for campus recruiting activities, talent selection, candidate sourcing, event organization, stakeholder management, vendor management, offer management and on-boarding. As a recruiter you'll be mainly in charge of talent acquisition activities for our office in London. Working in close partnership with the regional and global teams, the role will also have wider responsibilities - supporting regional projects, operational effectiveness and recruitment best practice across the region. YOU'RE GOOD AT Full lifecycle management of vacancies with primary focus on various capabilities within the analytics function, e.g. Interns, Data Scientists, Software Engineers Manage key stakeholder relationships as a trusted partner, building a deep understanding of the business, role requirements and desired candidate profiles Take full ownership of campus recruiting activities, coordinate & execute events, from screening applications to planning content, as well as attending events Manage recruitment campaigns for any volume hiring needs or brand building events in close cooperation with Consulting Team recruiting Identify talent pools and high-quality candidates through the proactive sourcing of active and passive candidates via direct channels, job postings, social media, talent mapping, vendors, networking Manage candidates throughout the interview process from prepping before interviews to final offer while providing a competency-based assessment and candidate recommendation to the hiring panel Manage and coordinate the internship program, from recruiting to performance reviews Build talent pipelines to fill current and future roles to drive improvements in time to hire Utilize the applicant tracking system to actively track, manage and report on candidate pipelines Provide excellent candidate experience through efficient process management Coordinate and push internal initiatives, support projects, build internal networks What You'll Bring Bachelors or master's degree with high academic achievement 2+ years of work experience in recruitment/talent acquisition, prior experience within the analytics consulting, professional services areas or in-house recruitment experience with an international organization preferred Coordination, organizational, and improvisation talent, able to perform in a fast changing environment Strong interest and first experience in campus recruiting & event management Knowledge of utilizing LinkedIn Recruiter for successful hires Clear and effective written and verbal communication skills Enthusiastic with a positive "can-do" attitude, love working as part of a team and coming up with creative ideas together. At the same time, like to take responsibility for your own projects Proficiency with Microsoft Office Ability to interact effectively with key recruitment stakeholders and other teams, such as HR, Staffing, Consulting teams Fluent in English Who You'll Work With The BCG X People Team to attract and select top talent through: Best in class recruiting excellence, innovative sourcing, and an engaging talent brand. Additional info BCG X is the tech build & design unit of BCG. Turbocharging BCG's deep industry and functional expertise, BCG X brings together advanced tech knowledge and ambitious entrepreneurship to help organizations enable innovation at scale. With nearly 3,000 technologists, scientists, programmers, engineers, and human-centered designers located across 80+ cities, BCG X builds and designs platforms and software to address the world's most important challenges and opportunities. Teaming across our practices, and in close collaboration with our clients, our end-to-end global team unlocks new possibilities. Together we're creating the bold and disruptive products, services, and businesses of tomorrow. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Dec 09, 2025
Full time
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
No agencies please Summary At Zetica, Geophysicists play a key role in ensuring technical excellence throughout all phases of near-surface geophysical projects. This includes fieldwork, in-depth data interpretation, and the preparation of clear, accurate reports. Your experience will grow quickly across this breadth of applications, utilising established and developing techniques and technologies for our wide-ranging client base. You will have access to an enviable inventory of equipment. You will work closely with a team of geophysicists, reporting to the Geophysical Services Manager and the Operations Director. Collaboration with senior geophysicists and administrative staff will be an integral part of your role. Responsibilities You will play a vital role in all stages of geophysical project progression, from initial planning to data collection, reporting, and quality assurance. You will have a relevant geoscience degree, a thorough understanding of physics, and experience with Autocad and Geosoft Oasis Montaj. You will be involved in projects across all of Zetica's departments, including surveys for transport infrastructure and for engineering, geotechnical, geological and environmental purposes as well as unexploded ordnance (UXO) and utility service detection surveys. Your responsibilities will include: Project preparation: Work with the team to prepare projects based on client needs, selecting the most effective techniques for each job while considering quality, timelines, and budget constraints. Data collection: Conduct data collection using a variety of geophysical techniques such as electromagnetics, magnetics, GPR, seismic, and more. Experience with utility mapping is a plus. Data processing and analysis: Use geophysical software (e.g., AutoCAD, Oasis Montaj, RES2DINV) to process and interpret data with a focus on quality and accuracy. Reporting: Produce clear, concise, and project-specific technical reports for clients and stakeholders. Compliance: Adhere to Zetica's health, safety, environmental, and quality policies, leading by example in their application. Technical growth: Continuously enhance your technical skills and contribute to team knowledge. Zetica supports innovative thinking and values ongoing development. Customer interaction: Work closely with colleagues, clients, and stakeholders, ensuring effective communication at all stages of the project. Requirements Being a geophysicist at Zetica will take you into all kinds of working environments. This role requires physical fitness, including the ability to lift equipment and walk long distances on site. We provide full training in health and safety procedures to ensure everyone can contribute effectively in the field. You will need: A degree in Geophysics, Earth Sciences, or a related field. A solid understanding of physics and geophysical principles. A valid manual driving licence and the ability to travel as required for fieldwork Strong communication skills and the ability to collaborate effectively with team members and clients. A proactive and problem-solving mindset, with an openness to new challenges and methods. The ability to adapt to varying work environments and mobilise quickly as needed. The position will involve travel, potentially some international. At Zetica, we are committed to fostering a workplace that is welcoming, respectful, and inclusive of all backgrounds. Applicants must have the right to work in the UK. Unfortunately, we are unable to sponsor visas at this time. Job Types: Full-time, Permanent Pay: From £29,000.00 per year Benefits: Casual dress Company events Company pension Cycle to work scheme On-site parking Profit sharing Ability to commute/relocate: Witney OX29 4JB: reliably commute or plan to relocate before starting work (required) Education: Bachelor's (required) Experience: Earth & Environmental Scientists: 1 year (required) Licence/Certification: full clean manual UK driving licence (required) Work authorisation: United Kingdom (required) Work Location: In person
Dec 09, 2025
Full time
No agencies please Summary At Zetica, Geophysicists play a key role in ensuring technical excellence throughout all phases of near-surface geophysical projects. This includes fieldwork, in-depth data interpretation, and the preparation of clear, accurate reports. Your experience will grow quickly across this breadth of applications, utilising established and developing techniques and technologies for our wide-ranging client base. You will have access to an enviable inventory of equipment. You will work closely with a team of geophysicists, reporting to the Geophysical Services Manager and the Operations Director. Collaboration with senior geophysicists and administrative staff will be an integral part of your role. Responsibilities You will play a vital role in all stages of geophysical project progression, from initial planning to data collection, reporting, and quality assurance. You will have a relevant geoscience degree, a thorough understanding of physics, and experience with Autocad and Geosoft Oasis Montaj. You will be involved in projects across all of Zetica's departments, including surveys for transport infrastructure and for engineering, geotechnical, geological and environmental purposes as well as unexploded ordnance (UXO) and utility service detection surveys. Your responsibilities will include: Project preparation: Work with the team to prepare projects based on client needs, selecting the most effective techniques for each job while considering quality, timelines, and budget constraints. Data collection: Conduct data collection using a variety of geophysical techniques such as electromagnetics, magnetics, GPR, seismic, and more. Experience with utility mapping is a plus. Data processing and analysis: Use geophysical software (e.g., AutoCAD, Oasis Montaj, RES2DINV) to process and interpret data with a focus on quality and accuracy. Reporting: Produce clear, concise, and project-specific technical reports for clients and stakeholders. Compliance: Adhere to Zetica's health, safety, environmental, and quality policies, leading by example in their application. Technical growth: Continuously enhance your technical skills and contribute to team knowledge. Zetica supports innovative thinking and values ongoing development. Customer interaction: Work closely with colleagues, clients, and stakeholders, ensuring effective communication at all stages of the project. Requirements Being a geophysicist at Zetica will take you into all kinds of working environments. This role requires physical fitness, including the ability to lift equipment and walk long distances on site. We provide full training in health and safety procedures to ensure everyone can contribute effectively in the field. You will need: A degree in Geophysics, Earth Sciences, or a related field. A solid understanding of physics and geophysical principles. A valid manual driving licence and the ability to travel as required for fieldwork Strong communication skills and the ability to collaborate effectively with team members and clients. A proactive and problem-solving mindset, with an openness to new challenges and methods. The ability to adapt to varying work environments and mobilise quickly as needed. The position will involve travel, potentially some international. At Zetica, we are committed to fostering a workplace that is welcoming, respectful, and inclusive of all backgrounds. Applicants must have the right to work in the UK. Unfortunately, we are unable to sponsor visas at this time. Job Types: Full-time, Permanent Pay: From £29,000.00 per year Benefits: Casual dress Company events Company pension Cycle to work scheme On-site parking Profit sharing Ability to commute/relocate: Witney OX29 4JB: reliably commute or plan to relocate before starting work (required) Education: Bachelor's (required) Experience: Earth & Environmental Scientists: 1 year (required) Licence/Certification: full clean manual UK driving licence (required) Work authorisation: United Kingdom (required) Work Location: In person
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.
AtHilson Moran, we believe in creating places that give more than they take for people, for nature, and for the planet. As a certified B Corp and a leader in sustainable design and consultancy, were redefining what it means to build responsibly. Our work spans the UK and beyond, delivering integrated, science-led solutions that support biodiversity, climate resilience, and community wellbeing. Were now looking for anexperienced ecologistto join our growing team someone who shares our passion for nature-positive development and wants to help shape the future of our built environment. As part of ourinterdisciplinary Infrastructure & Environment group, youll work alongside engineers, transport specialists and environmental scientists to deliver ecological insight across a wide range of projects from urban regeneration and garden communities to major infrastructure and international masterplans. Your responsibilities include, but are not limited to: Leading and managing ecological inputsacross the project lifecycle from early-stage surveys to mitigation strategies and post-construction monitoring. Mentoring and supporting junior ecologists, helping to build a collaborative, inclusive, and knowledge-sharing culture. Engaging with clients and stakeholders, contributing to proposals, tenders, and strategic advice that align with our Net Positive Places approach. Championing biodiversity net gain, habitat creation, and nature-based solutions as core components of sustainable placemaking. Background &Qualifications: Proven experience in UK habitats and protected species, including relevant survey and/or mitigation licences especially bats. A strong track record inEcological Impact Assessment (EcIA)andHabitat Regulations Assessment (HRA). A deep understanding of Biodiversity Net Gain legislation and metrics. Confidence in designing and delivering pragmatic, cost-effective mitigation strategies. Experience working with regulators and planning authorities to secure consents and implement ecological best practice. A passion for mentoring and developing others, and a desire to contribute to industry innovation and thought leadership. Utilise data visualisation technologies for data analysis and visualisation such as GIS. Bachelors degree inEcology, or a related field. Skills: Excellent analytical skills and attention to detail. Strong English communication skills, both spoken and written. Skilled at writing efficient and effective reports. Proficient in numerical tasks. Proactive and a self-motivated. Must hold a full valid UK drivers licence. Benefits: Enhanced annual leave entitlement of 25 days per annum, plus public holidays. Your annual leave entitlement will increase based on length of service with us up to 28 days plus public holidays. Enhanced company pension contribution. Annual budget to spend on personal wellbeing activities. Access to our healthcare scheme. Access to confidential wellbeing support services via our Employee Assistance Programme. Paid volunteering days to support causes important to you. Fun company events including our annual winter party and our full company summer social. Season ticket loans. Cycle to work scheme. Options for unpaid leave and career breaks. JBRP1_UKTJ
Dec 09, 2025
Full time
AtHilson Moran, we believe in creating places that give more than they take for people, for nature, and for the planet. As a certified B Corp and a leader in sustainable design and consultancy, were redefining what it means to build responsibly. Our work spans the UK and beyond, delivering integrated, science-led solutions that support biodiversity, climate resilience, and community wellbeing. Were now looking for anexperienced ecologistto join our growing team someone who shares our passion for nature-positive development and wants to help shape the future of our built environment. As part of ourinterdisciplinary Infrastructure & Environment group, youll work alongside engineers, transport specialists and environmental scientists to deliver ecological insight across a wide range of projects from urban regeneration and garden communities to major infrastructure and international masterplans. Your responsibilities include, but are not limited to: Leading and managing ecological inputsacross the project lifecycle from early-stage surveys to mitigation strategies and post-construction monitoring. Mentoring and supporting junior ecologists, helping to build a collaborative, inclusive, and knowledge-sharing culture. Engaging with clients and stakeholders, contributing to proposals, tenders, and strategic advice that align with our Net Positive Places approach. Championing biodiversity net gain, habitat creation, and nature-based solutions as core components of sustainable placemaking. Background &Qualifications: Proven experience in UK habitats and protected species, including relevant survey and/or mitigation licences especially bats. A strong track record inEcological Impact Assessment (EcIA)andHabitat Regulations Assessment (HRA). A deep understanding of Biodiversity Net Gain legislation and metrics. Confidence in designing and delivering pragmatic, cost-effective mitigation strategies. Experience working with regulators and planning authorities to secure consents and implement ecological best practice. A passion for mentoring and developing others, and a desire to contribute to industry innovation and thought leadership. Utilise data visualisation technologies for data analysis and visualisation such as GIS. Bachelors degree inEcology, or a related field. Skills: Excellent analytical skills and attention to detail. Strong English communication skills, both spoken and written. Skilled at writing efficient and effective reports. Proficient in numerical tasks. Proactive and a self-motivated. Must hold a full valid UK drivers licence. Benefits: Enhanced annual leave entitlement of 25 days per annum, plus public holidays. Your annual leave entitlement will increase based on length of service with us up to 28 days plus public holidays. Enhanced company pension contribution. Annual budget to spend on personal wellbeing activities. Access to our healthcare scheme. Access to confidential wellbeing support services via our Employee Assistance Programme. Paid volunteering days to support causes important to you. Fun company events including our annual winter party and our full company summer social. Season ticket loans. Cycle to work scheme. Options for unpaid leave and career breaks. JBRP1_UKTJ
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 to recruit an experienced Software Development Team Lead. You will be responsible for leading a team of software developers and testers to develop new data-driven cloud and on-premises applications incorporating Large Language Models in a multi-year roadmap. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities This is a hands-on role and will be expected to take an active part in development work Lead teams of developers and data scientists to deliver new products, features and fixes iteratively using an Agile Scrum approach Provide technical input including architectural and design decisions Act as first point of escalation to ensure impediments are removed and team maintains development velocity and achieves committed sprint goals. Communicate and escalate issues in a clear and timely manner Team management including day to day and career development for team members Maintain an up-to-date knowledge of existing and emerging technologies relevant to the role Qualifications Essential Attributes 10+ years of experience in Software development of complex applications. Excellent understanding of design principles and considerations, best practice Team Lead experience leading software engineering teams using an Agile methodology Experience in two or more of the following programming languages: Python, Java, and/or .NET (C#) Familiarity with databases such as MSSQL, PostgreSQL, and Oracle Familiarity with build pipeline tools and technologies such as GitLab Excellent analytical, communication and problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Team player: willing to coach junior team members and cooperate on problem solving Ability to establish credibility with engineers quickly, and provide long-term goals and motivation Excellent facilitation skills for cross-stakeholder discussions, both internal and external Desirable Attributes Experience in Geology domain especially Oil and Gas Experience with LLMs and/or AI as part of a solution Knowledge of cloud architecture including AWS, Azure, and/or Google Cloud Undergraduate degree in Software Engineering, Computer Science or equivalent experience Agile Scrum certification Experienced in working with remote teams 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: 204217 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 We are looking to recruit an experienced Software Development Team Lead. You will be responsible for leading a team of software developers and testers to develop new data-driven cloud and on-premises applications incorporating Large Language Models in a multi-year roadmap. Successful candidates will be evidently enthusiastic and motivated people who we can train up in our processes and ultimately play a key role in quality assurance initiatives across different stakeholder groups. This role is based in our Abingdon, Oxfordshire office. Key Responsibilities This is a hands-on role and will be expected to take an active part in development work Lead teams of developers and data scientists to deliver new products, features and fixes iteratively using an Agile Scrum approach Provide technical input including architectural and design decisions Act as first point of escalation to ensure impediments are removed and team maintains development velocity and achieves committed sprint goals. Communicate and escalate issues in a clear and timely manner Team management including day to day and career development for team members Maintain an up-to-date knowledge of existing and emerging technologies relevant to the role Qualifications Essential Attributes 10+ years of experience in Software development of complex applications. Excellent understanding of design principles and considerations, best practice Team Lead experience leading software engineering teams using an Agile methodology Experience in two or more of the following programming languages: Python, Java, and/or .NET (C#) Familiarity with databases such as MSSQL, PostgreSQL, and Oracle Familiarity with build pipeline tools and technologies such as GitLab Excellent analytical, communication and problem-solving skills Self-Starter; willing to learn new technologies, ability to learn fast Team player: willing to coach junior team members and cooperate on problem solving Ability to establish credibility with engineers quickly, and provide long-term goals and motivation Excellent facilitation skills for cross-stakeholder discussions, both internal and external Desirable Attributes Experience in Geology domain especially Oil and Gas Experience with LLMs and/or AI as part of a solution Knowledge of cloud architecture including AWS, Azure, and/or Google Cloud Undergraduate degree in Software Engineering, Computer Science or equivalent experience Agile Scrum certification Experienced in working with remote teams 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: 204217 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 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.
