Select how often (in days) to receive an alert: Primary Location: York, PA, US Join an industry leader and make a positive change in the sustainable use of the world's natural resources. Together, we will transform the business and drive the industry toward a greener future. At Metso, you will be supported by our inclusive culture and a network of colleagues from around the world. With us, you will embark on a personal growth journey and are encouraged to realize your potential. This is your invitation to rise above the possible. Introduction We are seeking a Chief Project Engineer to join our SVS GBP Grinding Product Engineering team. You will be responsible for leading engineering efforts for upgrades, modifications, and new product development, which involves providing technical expertise during equipment breakdowns and repairs. Your role plays a crucial part in ensuring efficient maintenance and innovative solutions, which will contribute to expanding our aftermarket product portfolio and delivering exceptional customer value. In this position, you will report to the Engineering Manager. This position is mainly located in York, PA, but we are happy to offer flexible working arrangements, including hybrid options. Travel of up to 20% may be required domestically and internationally. Team you belong to You will join a team of experienced mechanical engineers dedicated to developing innovative solutions and supporting aftermarket services for grinding products. We are currently working on equipment upgrades, modifications, and new product development projects to enhance reliability and performance. We work closely with internal stakeholders such as Product Line teams and Field Service teams, and external stakeholders including clients and suppliers. Our team culture is all about collaboration, technical excellence, and continuous improvement. The members in our team are located across multiple global regions. What You'll Do Lead engineering functions for projects, including reviewing equipment design and specifications, performing design calculations, and supervising technical staff. Develop specifications and documentation for repair, refurbishment, and procurement of equipment. Collaborate with Product Line teams to deliver efficient engineering solutions aligned with business strategy. Design innovative solutions and enhance existing products to meet customer needs. Ensure technical competency within the team through training and documentation. Manage design review risk assessments and ensure compliance with safety and quality standards. Support quality assurance during manufacturing and supply processes. Coordinate project timelines and budgets, interfacing with clients and supervising assigned staff. Who You are Hold a Bachelor's degree in Mechanical Engineering or a related field. Bring 10-15 years of experience in mechanical engineering, preferably in manufacturing or production equipment design within the mining industry. Proficient in CAD software (AutoCAD, Inventor) and knowledgeable in machine design principles, materials, and manufacturing processes. Skilled in diagnosing and resolving equipment breakdowns under time constraints (nice-to-have). Possess strong communication skills in English; Spanish is considered an asset (nice-to-have). Experienced in working in a global environment, collaborating across cultures and regions. Demonstrate exceptional problem-solving abilities and adaptability in dynamic settings. Willing to travel up to 20% domestically and internationally. What's in it for you An inspiring purpose - Be part of enabling sustainable modern life by transforming the mining industry. Wellbeing and safety - Occupational healthcare, generous benefits, mental well-being services, and more. Compensation and rewards - Global incentive program tied to performance, car benefits, and meal benefits. Hybrid working possibilities - Flexible work arrangements to support collaboration and work-life balance. A thriving culture - Inclusive, courageous, and caring environment that empowers you to reach your full potential. Extensive learning opportunities - Growth dialogues, mentoring programs, global projects, and education assistance. Worldwide support - Collaborate with peers globally through open and honest communication. Get in touch Want to rise above the possible with us? Click "Apply now" to submit your application. For additional information, please contact Deidre Largent, Talent Acquisition Specialist at or connect via LinkedIn. Recruitment timeline: Insert details if available We encourage you to apply even if you don't meet every requirement-you may be the right candidate for this role. Metso is an equal opportunity employer committed to fostering an inclusive and diverse workforce culture. All qualified applicants will receive consideration for employment without regard to race, religion, color, nationality, gender, gender identity, sexual orientation, age, status as a protected veteran or status as a qualified individual with a disability. Metso is a frontrunner in sustainable technologies, end-to-end solutions and services for the aggregates, minerals processing and metals refining industries globally. We improve our customers' energy and water efficiency, increase their productivity, and reduce environmental risks with our product and service expertise. We are the partner for positive change. Metso is headquartered in Espoo, Finland. At the end of 2024 Metso had close to 17,000 employees in around 50 countries, and sales in 2024 were about EUR 4.9 billion. Metso is listed on the Nasdaq Helsinki.
Jan 07, 2026
Full time
Select how often (in days) to receive an alert: Primary Location: York, PA, US Join an industry leader and make a positive change in the sustainable use of the world's natural resources. Together, we will transform the business and drive the industry toward a greener future. At Metso, you will be supported by our inclusive culture and a network of colleagues from around the world. With us, you will embark on a personal growth journey and are encouraged to realize your potential. This is your invitation to rise above the possible. Introduction We are seeking a Chief Project Engineer to join our SVS GBP Grinding Product Engineering team. You will be responsible for leading engineering efforts for upgrades, modifications, and new product development, which involves providing technical expertise during equipment breakdowns and repairs. Your role plays a crucial part in ensuring efficient maintenance and innovative solutions, which will contribute to expanding our aftermarket product portfolio and delivering exceptional customer value. In this position, you will report to the Engineering Manager. This position is mainly located in York, PA, but we are happy to offer flexible working arrangements, including hybrid options. Travel of up to 20% may be required domestically and internationally. Team you belong to You will join a team of experienced mechanical engineers dedicated to developing innovative solutions and supporting aftermarket services for grinding products. We are currently working on equipment upgrades, modifications, and new product development projects to enhance reliability and performance. We work closely with internal stakeholders such as Product Line teams and Field Service teams, and external stakeholders including clients and suppliers. Our team culture is all about collaboration, technical excellence, and continuous improvement. The members in our team are located across multiple global regions. What You'll Do Lead engineering functions for projects, including reviewing equipment design and specifications, performing design calculations, and supervising technical staff. Develop specifications and documentation for repair, refurbishment, and procurement of equipment. Collaborate with Product Line teams to deliver efficient engineering solutions aligned with business strategy. Design innovative solutions and enhance existing products to meet customer needs. Ensure technical competency within the team through training and documentation. Manage design review risk assessments and ensure compliance with safety and quality standards. Support quality assurance during manufacturing and supply processes. Coordinate project timelines and budgets, interfacing with clients and supervising assigned staff. Who You are Hold a Bachelor's degree in Mechanical Engineering or a related field. Bring 10-15 years of experience in mechanical engineering, preferably in manufacturing or production equipment design within the mining industry. Proficient in CAD software (AutoCAD, Inventor) and knowledgeable in machine design principles, materials, and manufacturing processes. Skilled in diagnosing and resolving equipment breakdowns under time constraints (nice-to-have). Possess strong communication skills in English; Spanish is considered an asset (nice-to-have). Experienced in working in a global environment, collaborating across cultures and regions. Demonstrate exceptional problem-solving abilities and adaptability in dynamic settings. Willing to travel up to 20% domestically and internationally. What's in it for you An inspiring purpose - Be part of enabling sustainable modern life by transforming the mining industry. Wellbeing and safety - Occupational healthcare, generous benefits, mental well-being services, and more. Compensation and rewards - Global incentive program tied to performance, car benefits, and meal benefits. Hybrid working possibilities - Flexible work arrangements to support collaboration and work-life balance. A thriving culture - Inclusive, courageous, and caring environment that empowers you to reach your full potential. Extensive learning opportunities - Growth dialogues, mentoring programs, global projects, and education assistance. Worldwide support - Collaborate with peers globally through open and honest communication. Get in touch Want to rise above the possible with us? Click "Apply now" to submit your application. For additional information, please contact Deidre Largent, Talent Acquisition Specialist at or connect via LinkedIn. Recruitment timeline: Insert details if available We encourage you to apply even if you don't meet every requirement-you may be the right candidate for this role. Metso is an equal opportunity employer committed to fostering an inclusive and diverse workforce culture. All qualified applicants will receive consideration for employment without regard to race, religion, color, nationality, gender, gender identity, sexual orientation, age, status as a protected veteran or status as a qualified individual with a disability. Metso is a frontrunner in sustainable technologies, end-to-end solutions and services for the aggregates, minerals processing and metals refining industries globally. We improve our customers' energy and water efficiency, increase their productivity, and reduce environmental risks with our product and service expertise. We are the partner for positive change. Metso is headquartered in Espoo, Finland. At the end of 2024 Metso had close to 17,000 employees in around 50 countries, and sales in 2024 were about EUR 4.9 billion. Metso is listed on the Nasdaq Helsinki.
Job Title: System Data Analytics Specialist (Fraud / Callsign Optimization) Location: Remote (Global) Contract Duration: 6 months (with possible extension) Client: Leading Saudi Arabian Bank Type: Contract / Consultant About the Role We are seeking a System Data Analytics Specialist with deep technical expertise in fraud analytics, digital identity systems, and Callsign platform optimization. The ideal candidate will have hands on experience configuring, tuning, and optimizing Callsign or similar fraud detection and authentication systems within a banking or financial services environment. You will play a key role in enhancing the accuracy, performance, and effectiveness of fraud detection rules and behavioral analytics. Working closely with fraud strategy, risk, and technology teams, you'll ensure the Callsign system is delivering maximum protection with minimal customer friction. Key Responsibilities System Optimization & Tuning Calibrate and fine tune the Callsign fraud detection and authentication engine for optimal performance. Analyze data models, risk signals, and rule outputs to identify false positives/negatives and optimize model thresholds. Work on continuous improvement of Callsign workflows, journeys, and intervention logic. Data Analysis & Insights Conduct deep analytics on fraud event data, behavioral biometrics, and system logs. Build dashboards, performance metrics, and reporting pipelines to monitor Callsign efficacy. Collaborate with fraud analytics teams to detect trends and emerging threats. Technical Implementation Configure system integrations between Callsign and core banking systems, APIs, or orchestration layers. Support the deployment of new fraud scenarios and machine learning models. Manage test environments, perform regression testing, and validate production changes. Stakeholder Collaboration Liaise with fraud strategy, IT security, and vendor teams to drive performance improvements. Document configurations, model changes, and system updates. Provide expert guidance on Callsign data structures, risk scoring, and orchestration capabilities. Required Skills & Experience Mandatory Proven experience working directly with Callsign (configuration, tuning, or analytics). 5+ years of experience in fraud prevention, risk analytics, or authentication systems in the banking sector. Strong SQL, Python, and data visualization skills (e.g., Power BI, Tableau). Familiarity with behavioral biometrics, device fingerprinting, and event based fraud modeling. Excellent analytical mindset and ability to interpret complex data flows. Strong communication skills in English (Arabic is a plus). Preferred Experience with machine learning models used for fraud or risk scoring. Exposure to other fraud platforms (e.g., ThreatMetrix, Feedzai, SAS Fraud Management). Knowledge of regulatory environments in MENA banking and SAMA compliance standards. What's Offered Fully remote engagement - work from anywhere. 6 month contract, with possibility of renewal. Opportunity to work with a top tier Saudi financial institution on a strategic fraud prevention initiative. Competitive daily rate, commensurate with experience.
Jan 07, 2026
Full time
Job Title: System Data Analytics Specialist (Fraud / Callsign Optimization) Location: Remote (Global) Contract Duration: 6 months (with possible extension) Client: Leading Saudi Arabian Bank Type: Contract / Consultant About the Role We are seeking a System Data Analytics Specialist with deep technical expertise in fraud analytics, digital identity systems, and Callsign platform optimization. The ideal candidate will have hands on experience configuring, tuning, and optimizing Callsign or similar fraud detection and authentication systems within a banking or financial services environment. You will play a key role in enhancing the accuracy, performance, and effectiveness of fraud detection rules and behavioral analytics. Working closely with fraud strategy, risk, and technology teams, you'll ensure the Callsign system is delivering maximum protection with minimal customer friction. Key Responsibilities System Optimization & Tuning Calibrate and fine tune the Callsign fraud detection and authentication engine for optimal performance. Analyze data models, risk signals, and rule outputs to identify false positives/negatives and optimize model thresholds. Work on continuous improvement of Callsign workflows, journeys, and intervention logic. Data Analysis & Insights Conduct deep analytics on fraud event data, behavioral biometrics, and system logs. Build dashboards, performance metrics, and reporting pipelines to monitor Callsign efficacy. Collaborate with fraud analytics teams to detect trends and emerging threats. Technical Implementation Configure system integrations between Callsign and core banking systems, APIs, or orchestration layers. Support the deployment of new fraud scenarios and machine learning models. Manage test environments, perform regression testing, and validate production changes. Stakeholder Collaboration Liaise with fraud strategy, IT security, and vendor teams to drive performance improvements. Document configurations, model changes, and system updates. Provide expert guidance on Callsign data structures, risk scoring, and orchestration capabilities. Required Skills & Experience Mandatory Proven experience working directly with Callsign (configuration, tuning, or analytics). 5+ years of experience in fraud prevention, risk analytics, or authentication systems in the banking sector. Strong SQL, Python, and data visualization skills (e.g., Power BI, Tableau). Familiarity with behavioral biometrics, device fingerprinting, and event based fraud modeling. Excellent analytical mindset and ability to interpret complex data flows. Strong communication skills in English (Arabic is a plus). Preferred Experience with machine learning models used for fraud or risk scoring. Exposure to other fraud platforms (e.g., ThreatMetrix, Feedzai, SAS Fraud Management). Knowledge of regulatory environments in MENA banking and SAMA compliance standards. What's Offered Fully remote engagement - work from anywhere. 6 month contract, with possibility of renewal. Opportunity to work with a top tier Saudi financial institution on a strategic fraud prevention initiative. Competitive daily rate, commensurate with experience.
Description It's an exciting time in our Pricing and Analytics department. Our transformation programme has recently been relaunched, aligned to AXA Retail's new Pricing and Analytics strategy. We're investing in growing in size and capability across our IT systems, analytical toolset and learning and development. We'd love to hear from motivated people who can help us deliver our commitments to our business, our customers, and our people. We're looking for Senior Analysts to lead and support projects across Motor or Home that continually improve productiveness and segmentation of statistical models of claims and demand across products and channels, using both traditional and data science/contemporary techniques. At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We're also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. What you'll be doing: Create, validate and reconcile datasets for analysis and undertake analysis by writing and manipulating code. Support in the creation, maintenance and deployment of rating models that predict claims cost, conversion, or retention. Contribute to the specification, development and testing cycles for deployment of rates. Consider the impact on customers of pricing actions and act to avoid any unfair treatment. Lead in producing and developing appropriate monitoring for pricing and other stakeholders. Provide technical underwriting and pricing support to assist the business in achieving its plans. Build strong relationships with managers, peers and stakeholders. Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we're able to effectively manage interest. Therefore, if you're interested in joining us at AXA, please don't hesitate to apply. What you'll bring: Experience in a related Insurance Pricing role is strongly preferred. Excellent numerical mathematical skills (a degree in a mathematics related discipline or evidence of equivalent proficiency. Knowledge of predictive modelling for Risk and/or Demand models. Ability to demonstrate high levels of problem-solving skills and initiative. Ability to plan and prioritise own work and that of a small project team. Knowledge of tool such as Python, R, SAS, SQL or other analytical language/tools are desirable. An understanding of machine learning techniques. An awareness of appropriate statistical techniques for insurance analysis. As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. What we offer: At AXA UK, we're appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive: Competitive annual salary dependent on experience Annual company & performance-based bonus Contributory pension scheme (up to 12% employer contributions) Life Assurance (up to 10 x annual salary) Private medical cover 28 days annual leave plus Bank Holidays Opportunity to buy up to 5 extra days leave or sell up to 5 days leave Wellbeing services & resources AXA employee discounts To apply, click on the 'apply for this job' button, you'll then need to log in or create a profile to submit your CV. We're proud to be an Equal Opportunities Employer and don't discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we're proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to . Who we are: AXA Retail helps people live the life they love, knowing we've got their back, at home and on the road. Our people are vital to us becoming more digital, faster and easier to access. We're a dynamic team of experts completely committed to making sure our customers 'get back to the good stuff' when the unexpected happens.
Jan 07, 2026
Full time
Description It's an exciting time in our Pricing and Analytics department. Our transformation programme has recently been relaunched, aligned to AXA Retail's new Pricing and Analytics strategy. We're investing in growing in size and capability across our IT systems, analytical toolset and learning and development. We'd love to hear from motivated people who can help us deliver our commitments to our business, our customers, and our people. We're looking for Senior Analysts to lead and support projects across Motor or Home that continually improve productiveness and segmentation of statistical models of claims and demand across products and channels, using both traditional and data science/contemporary techniques. At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We're also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. What you'll be doing: Create, validate and reconcile datasets for analysis and undertake analysis by writing and manipulating code. Support in the creation, maintenance and deployment of rating models that predict claims cost, conversion, or retention. Contribute to the specification, development and testing cycles for deployment of rates. Consider the impact on customers of pricing actions and act to avoid any unfair treatment. Lead in producing and developing appropriate monitoring for pricing and other stakeholders. Provide technical underwriting and pricing support to assist the business in achieving its plans. Build strong relationships with managers, peers and stakeholders. Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we're able to effectively manage interest. Therefore, if you're interested in joining us at AXA, please don't hesitate to apply. What you'll bring: Experience in a related Insurance Pricing role is strongly preferred. Excellent numerical mathematical skills (a degree in a mathematics related discipline or evidence of equivalent proficiency. Knowledge of predictive modelling for Risk and/or Demand models. Ability to demonstrate high levels of problem-solving skills and initiative. Ability to plan and prioritise own work and that of a small project team. Knowledge of tool such as Python, R, SAS, SQL or other analytical language/tools are desirable. An understanding of machine learning techniques. An awareness of appropriate statistical techniques for insurance analysis. As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. What we offer: At AXA UK, we're appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive: Competitive annual salary dependent on experience Annual company & performance-based bonus Contributory pension scheme (up to 12% employer contributions) Life Assurance (up to 10 x annual salary) Private medical cover 28 days annual leave plus Bank Holidays Opportunity to buy up to 5 extra days leave or sell up to 5 days leave Wellbeing services & resources AXA employee discounts To apply, click on the 'apply for this job' button, you'll then need to log in or create a profile to submit your CV. We're proud to be an Equal Opportunities Employer and don't discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we're proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to . Who we are: AXA Retail helps people live the life they love, knowing we've got their back, at home and on the road. Our people are vital to us becoming more digital, faster and easier to access. We're a dynamic team of experts completely committed to making sure our customers 'get back to the good stuff' when the unexpected happens.
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications: Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Jan 06, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications: Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Deep Learning Researcher Cambridge / London About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher with a strong background in machine learning, AI, or related fields click apply for full job details
Jan 06, 2026
Full time
Deep Learning Researcher Cambridge / London About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher with a strong background in machine learning, AI, or related fields click apply for full job details
The Alan Turing Institute Named in honour of Alan Turing , the Institute is a place for inspiring, exciting work and we need passionate, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Turing has recently been awarded a £1m EPSRC research grant to develop AI methods that can support and enhance intelligence analysis for national security and defence . For this project, the Turing will lead an interdisciplinary consortium that also includes Warwick, Southampton, Dundee and Cardiff Universities, working closely with UK government defence and national security partners. The project, entitled AI Intelligence Triage & Acquisition Support for Human-centred Analysis (AiTASHA), aims to improve the speed and confidence of intelligence analysts assessments by building new AI tools that can work alongside human analysts. CANDIDATE PROFILE We are seeking a highly skilled Senior Research Associate, to conduct internationally leading research in machine learning, with applications to intelligence analysis. This role will involve investigating and developing methods that will allow deep learning models to identify subsets of data with the highest potential for reducing uncertainty of model outputs, leveraging and building on existing methods in ML explainability, interpretability, and uncertainty quantification. The ideal candidate will be experienced working with stakeholders and guide more junior members of the team. Eligibility for Security Check (SC) clearance is a requirement. Eligibility criteria and further information on the process can be found on the government website . Successful candidates will be subject to a Dstl research workers form check at offer stage. KEY DUTIES Play a leading role in undertaking high-quality research, actively contributing to, and steering the broader research aims of the Defence and National Security Grand Challenge. Provide technical leadership for research projects, ensuring successful outcomes, including that research outcomes meet our government partners requirements and can be deployed in the real world. Contribute to, and lead where required, interdisciplinary research teams spanning multiple partner organisations. Contribute to software development including planning, execution and package release and management. Be a point of contact, supporting the PI in engaging with stakeholders regarding projects and deputising for the PI in meetings where necessary. Person Specification A PhD (or equivalent experience and/or qualification) in a field with significant use of both computer programming and advanced statistical or numerical methods, e.g., machine learning, AI, computer science, mathematics, statistics, physics, engineering. Practical experience developing and applying Machine Learning to real world problems OR strong theoretical knowledge and academic experience with Machine Learning and adjacent topics. Significant experience in developing and applying computer vision and/or large language models, OR significant experience in machine learning interpretability, explainability, and/or uncertainty quantification. Experience developing software in a scientific computing context, ideally using Python/Pytorch, including the use of established libraries used in data science and artificial intelligence research. An understanding of the importance of good practices for producing reliable software and reproducible analyses, such as version control, issue tracking, automated testing, package management and literate analysis tools such as Jupyter. Please see our portal for a full breakdown of the role. Terms and Conditions This post is offered on a fixed term basis, for two years from the start date, with an annual salary is £56,840-£58,482 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Application procedure Please see our jobs portal for details on how to apply. Please read carefully and note the specification instructions of what to include in your covering letter when applying. CLOSING DATE FOR APPLICATIONS: Sunday 11th January 2026 at 23:59 (London UK, GMT) Interviews will take place in late January after the shortlisting process has been completed. The successful candidate will need to be in post by or close to April 2026 Equality Diversity and Inclusion We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at .
Jan 06, 2026
Full time
The Alan Turing Institute Named in honour of Alan Turing , the Institute is a place for inspiring, exciting work and we need passionate, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Turing has recently been awarded a £1m EPSRC research grant to develop AI methods that can support and enhance intelligence analysis for national security and defence . For this project, the Turing will lead an interdisciplinary consortium that also includes Warwick, Southampton, Dundee and Cardiff Universities, working closely with UK government defence and national security partners. The project, entitled AI Intelligence Triage & Acquisition Support for Human-centred Analysis (AiTASHA), aims to improve the speed and confidence of intelligence analysts assessments by building new AI tools that can work alongside human analysts. CANDIDATE PROFILE We are seeking a highly skilled Senior Research Associate, to conduct internationally leading research in machine learning, with applications to intelligence analysis. This role will involve investigating and developing methods that will allow deep learning models to identify subsets of data with the highest potential for reducing uncertainty of model outputs, leveraging and building on existing methods in ML explainability, interpretability, and uncertainty quantification. The ideal candidate will be experienced working with stakeholders and guide more junior members of the team. Eligibility for Security Check (SC) clearance is a requirement. Eligibility criteria and further information on the process can be found on the government website . Successful candidates will be subject to a Dstl research workers form check at offer stage. KEY DUTIES Play a leading role in undertaking high-quality research, actively contributing to, and steering the broader research aims of the Defence and National Security Grand Challenge. Provide technical leadership for research projects, ensuring successful outcomes, including that research outcomes meet our government partners requirements and can be deployed in the real world. Contribute to, and lead where required, interdisciplinary research teams spanning multiple partner organisations. Contribute to software development including planning, execution and package release and management. Be a point of contact, supporting the PI in engaging with stakeholders regarding projects and deputising for the PI in meetings where necessary. Person Specification A PhD (or equivalent experience and/or qualification) in a field with significant use of both computer programming and advanced statistical or numerical methods, e.g., machine learning, AI, computer science, mathematics, statistics, physics, engineering. Practical experience developing and applying Machine Learning to real world problems OR strong theoretical knowledge and academic experience with Machine Learning and adjacent topics. Significant experience in developing and applying computer vision and/or large language models, OR significant experience in machine learning interpretability, explainability, and/or uncertainty quantification. Experience developing software in a scientific computing context, ideally using Python/Pytorch, including the use of established libraries used in data science and artificial intelligence research. An understanding of the importance of good practices for producing reliable software and reproducible analyses, such as version control, issue tracking, automated testing, package management and literate analysis tools such as Jupyter. Please see our portal for a full breakdown of the role. Terms and Conditions This post is offered on a fixed term basis, for two years from the start date, with an annual salary is £56,840-£58,482 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Application procedure Please see our jobs portal for details on how to apply. Please read carefully and note the specification instructions of what to include in your covering letter when applying. CLOSING DATE FOR APPLICATIONS: Sunday 11th January 2026 at 23:59 (London UK, GMT) Interviews will take place in late January after the shortlisting process has been completed. The successful candidate will need to be in post by or close to April 2026 Equality Diversity and Inclusion We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at .
Join the Beechwood Tree Care Team - Where Expertise Meets Opportunity Are you a Team Leader who is passionate about trees and looking for a new challenge? Beechwood Tree Care Ltd, a trusted name in the arboricultural industry, is expanding and looking for experienced team members to join our growing team in a variety of exciting senior roles! Located midway between Reading, Henley, Maidenhead, and Bracknell, we offer career progression opportunities that go beyond just working on the tools every day. If you're an experienced arborist who's ready to take on a leadership role, we want to hear from you! What's Available We currently have 2 senior roles available for experienced, qualified arborists who are ready to take their career to the next level and be part of a proactive senior management team. These roles provide a mix of hands-on tree work and management responsibilities. These roles are perfect for individuals who want something more than just 5 days a week on the tools. We're looking for leaders who are eager to contribute to the ongoing growth and success of the company while having the opportunity to develop their skills in management and training. Apprentice Tree Surgeons On the job experience from trained tree surgeons Earn while you learn, no previous experience necessary 2 days meeting customers and pricing jobs At Beechwood Tree Care, we're committed to staying at the forefront of modern arboriculture. We're constantly evolving to improve efficiency and service quality through cutting-edge technology and equipment. From our bespoke online booking system to our state-of-the-art tree cutting machinery, welfare vehicles, Bluetooth headsets, and battery-powered equipment, we ensure our team has the best tools for the job. We understand that great arborists need a great working environment. When you join Beechwood, you'll enjoy: A supportive and collaborative work culture: You'll be treated fairly, appreciated, and given the opportunity to thrive. Top-quality uniform and equipment: We ensure you have everything you need to perform at your best. Career development opportunities: We offer roles that provide a mix of hands-on work and management responsibilities, ensuring you're always learning and growing. Watch Our Video About Working With Beechwood Tree Care
Jan 06, 2026
Full time
Join the Beechwood Tree Care Team - Where Expertise Meets Opportunity Are you a Team Leader who is passionate about trees and looking for a new challenge? Beechwood Tree Care Ltd, a trusted name in the arboricultural industry, is expanding and looking for experienced team members to join our growing team in a variety of exciting senior roles! Located midway between Reading, Henley, Maidenhead, and Bracknell, we offer career progression opportunities that go beyond just working on the tools every day. If you're an experienced arborist who's ready to take on a leadership role, we want to hear from you! What's Available We currently have 2 senior roles available for experienced, qualified arborists who are ready to take their career to the next level and be part of a proactive senior management team. These roles provide a mix of hands-on tree work and management responsibilities. These roles are perfect for individuals who want something more than just 5 days a week on the tools. We're looking for leaders who are eager to contribute to the ongoing growth and success of the company while having the opportunity to develop their skills in management and training. Apprentice Tree Surgeons On the job experience from trained tree surgeons Earn while you learn, no previous experience necessary 2 days meeting customers and pricing jobs At Beechwood Tree Care, we're committed to staying at the forefront of modern arboriculture. We're constantly evolving to improve efficiency and service quality through cutting-edge technology and equipment. From our bespoke online booking system to our state-of-the-art tree cutting machinery, welfare vehicles, Bluetooth headsets, and battery-powered equipment, we ensure our team has the best tools for the job. We understand that great arborists need a great working environment. When you join Beechwood, you'll enjoy: A supportive and collaborative work culture: You'll be treated fairly, appreciated, and given the opportunity to thrive. Top-quality uniform and equipment: We ensure you have everything you need to perform at your best. Career development opportunities: We offer roles that provide a mix of hands-on work and management responsibilities, ensuring you're always learning and growing. Watch Our Video About Working With Beechwood Tree Care
Head of Data Science / £160,000 - £175,000 + 30% Bonus / Hybrid Role: Head of Data Science Location: London Salary/Package: £140,000 - £165,000 + Bonus (up to 30 percent) Onsite v Remote: 2-3 days per week in office Our client, one of the most established names in their sector are on the lookout for a Head of Data Science to lead the Data Science, Machine Learning & Advanced Analytics capability. As the Head of Data Science, you will take over a number of teams and be the strategic leader in enhancing current Data Science methods as well as introducing new areas of revenue / progression for the Data Science department. On top of your responsibilities as Head of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Head of Data Science role appeals to you, we want to see the following: A brilliant track record at 'Head of' level or above, leading numerous teams and have managers reporting into you. A background in Data Science, having being hands on at one point in your career (this role is not hands on). Demonstrable background of achieving a positive ROI with regards to your teams work. Track record of developing and promoting individuals Worked at a notable business within their sector. Outstanding stakeholder management capabilities as well as the ability to interact at C-Suite & Board level. This Head of Data Science position has great growth potential and we're looking for someone who can grow internally. If this Head of Data Science position appeals to you - please don't hesitate & apply now for immediate consideration. Head of Data Science / £160,000 - £175,000 + 30% Bonus / Hybrid
Jan 06, 2026
Full time
Head of Data Science / £160,000 - £175,000 + 30% Bonus / Hybrid Role: Head of Data Science Location: London Salary/Package: £140,000 - £165,000 + Bonus (up to 30 percent) Onsite v Remote: 2-3 days per week in office Our client, one of the most established names in their sector are on the lookout for a Head of Data Science to lead the Data Science, Machine Learning & Advanced Analytics capability. As the Head of Data Science, you will take over a number of teams and be the strategic leader in enhancing current Data Science methods as well as introducing new areas of revenue / progression for the Data Science department. On top of your responsibilities as Head of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Head of Data Science role appeals to you, we want to see the following: A brilliant track record at 'Head of' level or above, leading numerous teams and have managers reporting into you. A background in Data Science, having being hands on at one point in your career (this role is not hands on). Demonstrable background of achieving a positive ROI with regards to your teams work. Track record of developing and promoting individuals Worked at a notable business within their sector. Outstanding stakeholder management capabilities as well as the ability to interact at C-Suite & Board level. This Head of Data Science position has great growth potential and we're looking for someone who can grow internally. If this Head of Data Science position appeals to you - please don't hesitate & apply now for immediate consideration. Head of Data Science / £160,000 - £175,000 + 30% Bonus / Hybrid
Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Jan 06, 2026
Full time
Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
The Lead solution Architect for Data, Analytics and AI will focus on leading delivery of high-quality, compliant, and scalable DATA/AI solutions across our portfolio. This role involves developing offerings, Sales support and delivery. This role requires a strategic and hands-on approach to drive data-driven decision-making, deliver actionable insights, and enhance business performance by incorporating Artificial Intelligence and Machine Learning for Expleo's clients. The successful candidate will provide technical leadership to a team of data scientists, analysts, and AI data engineers, collaborating closely with cross-functional teams to develop innovative data solutions and drive growth opportunities. Leadership and Strategy: Help the Service head to define the data and analytics vision, strategy, and roadmap aligned with the firm's goals. Align the data and analytics strategy with the firm's overall goals and objectives. Provide leadership and guidance to the team, fostering a culture of innovation, collaboration, and continuous improvement. Identify emerging trends and technologies in data, analytics, and AI to drive competitive advantage. Client Engagement: Engage with clients to understand their data, analytics, and AI needs, challenges, and objectives. Translate client requirements into actionable data and AI strategies, solutions, and deliverables. Lead solution workshops with client stakeholders Act as a trusted adviser to clients, demonstrating expertise in data-driven decision-making and analytics. Data and AI Analysis and Insights: Oversee the design, development, and execution of data models, algorithms, and analytical frameworks. Drive data exploration, visualization, and interpretation to extract meaningful insights. Present findings and recommendations to clients and internal stakeholders in a clear and compelling manner. Data Governance and Compliance: Develop and implement data governance policies, procedures, and best practices to ensure data quality, integrity, and security. Ensure compliance with data privacy regulations and industry standards. Stay updated on evolving data regulations and proactively adapt the firm's practices accordingly.
Jan 06, 2026
Full time
The Lead solution Architect for Data, Analytics and AI will focus on leading delivery of high-quality, compliant, and scalable DATA/AI solutions across our portfolio. This role involves developing offerings, Sales support and delivery. This role requires a strategic and hands-on approach to drive data-driven decision-making, deliver actionable insights, and enhance business performance by incorporating Artificial Intelligence and Machine Learning for Expleo's clients. The successful candidate will provide technical leadership to a team of data scientists, analysts, and AI data engineers, collaborating closely with cross-functional teams to develop innovative data solutions and drive growth opportunities. Leadership and Strategy: Help the Service head to define the data and analytics vision, strategy, and roadmap aligned with the firm's goals. Align the data and analytics strategy with the firm's overall goals and objectives. Provide leadership and guidance to the team, fostering a culture of innovation, collaboration, and continuous improvement. Identify emerging trends and technologies in data, analytics, and AI to drive competitive advantage. Client Engagement: Engage with clients to understand their data, analytics, and AI needs, challenges, and objectives. Translate client requirements into actionable data and AI strategies, solutions, and deliverables. Lead solution workshops with client stakeholders Act as a trusted adviser to clients, demonstrating expertise in data-driven decision-making and analytics. Data and AI Analysis and Insights: Oversee the design, development, and execution of data models, algorithms, and analytical frameworks. Drive data exploration, visualization, and interpretation to extract meaningful insights. Present findings and recommendations to clients and internal stakeholders in a clear and compelling manner. Data Governance and Compliance: Develop and implement data governance policies, procedures, and best practices to ensure data quality, integrity, and security. Ensure compliance with data privacy regulations and industry standards. Stay updated on evolving data regulations and proactively adapt the firm's practices accordingly.
Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world . click apply for full job details
Jan 06, 2026
Full time
Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world . click apply for full job details
AI/ Machine Learning Engineer (NLP / LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered. You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in the first instance and you will be contacted to discuss the position further.
Jan 06, 2026
Full time
AI/ Machine Learning Engineer (NLP / LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered. You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in the first instance and you will be contacted to discuss the position further.
Be the Intelligence Behind the Future of Cancer Care Are you ready to lead one of the most exciting data transformations in UK healthcare? The Christie NHS Foundation Trust is seeking a Chief Data Officer (CDO) to spearhead our journey toward becoming the UK's most intelligent cancer hospital. This is a rare opportunity to shape the future of cancer care through data, analytics, and innovation driving personalised medicine, operational excellence, and ground-breaking research. Why This Role Matters At The Christie, data isn't just numbers it's knowledge, insight, and life saving potential. As CDO, you'll lead the strategic direction of enterprise-wide data management, governance, and analytics. You'll be the architect of our data future, enabling clinicians, researchers, and operational teams to make smarter, faster, and more impactful decisions. You'll champion the Pathway to Intelligent Hospital - Joint Analytics for Cancer, collaborating with national bodies, academic institutions, and industry partners to unlock the power of real world data. Main duties of the job Lead the development and delivery of a Trust wide data strategy aligned with national priorities like Data Saves Lives and the NHS Long Term Plan. Drive innovation in AI, predictive modelling, and population health analytics. Oversee data governance, architecture, and quality across all systems. Enable secure, ethical data sharing to reduce health inequalities. Support research and clinical trials with high quality, curated data. Cultivate a data literacy culture across the Trust, empowering staff to use data for better care and smarter decisions. What We're Looking For We're seeking a visionary leader with: Proven experience in senior data leadership, ideally in healthcare or public sector. Strategic insight and technical expertise in data platforms, governance, and analytics. A passion for innovation, curiosity, and solving complex system wide challenges. The ability to influence at executive level and inspire multidisciplinary teams. A commitment to equity, sustainability, and ethical data use. What Makes This Role Unique This isn't just a data role it's a transformational leadership position. You'll be at the heart of shaping how data drives care, research, and operational strategy in one of the UK's leading cancer centres. You'll have the freedom to innovate, the support to lead, and the platform to make a lasting impact. About us The Christie is one of Europe's leading cancer centres, treating over 60,000 patients a year. We are based in Manchester and serve a population of 3.2 million across Greater Manchester & Cheshire, but as a national specialist around 15 % of patients are referred to us from other parts of the country. We provide radiotherapy through one of the largest radiotherapy departments in the world; chemotherapy on site and through 14 other hospitals; highly specialist surgery for complex and rare cancer; and a wide range of support and diagnostic services. We are also an international leader in research, with world first breakthroughs for over 100 years. We run one of the largest early clinical trial units in Europe with over 300 trials every year. Cancer research in Manchester, most of which is undertaken on the Christie site, has been officially ranked the best in the UK. Job Responsibilities DUTIES AND RESPONSIBILITIES Oversee the quality, security, and lifecycle management of data across all Trust systems. Define the roadmap and oversee the implementation of organisational level data platforms, tools, capabilities and functions to ensure the Christie is a leader in the uses of high quality real world data. Enable the use of data for clinical decision support, operational intelligence, and performance improvement. Support research, innovation, and academic partnerships by ensuring access to high quality, well curated data. Lead the development of advanced analytics capabilities, including AI and predictive modelling, to support population health and personalised care. Develop and implement a Trust wide data strategy aligned with national priorities for cancer care. Lead data governance, ensuring compliance with standards (e.g. GDPR, Caldicott Principles, Ethics). Champion data literacy and foster a culture of data driven decision making across the Trust. Collaborate with partners to enable secure and ethical data sharing across organisational boundaries for the benefit of our patients. PLANNING AND ORGANISATIONAL TASKS / DUTIES Manage and lead teams in line with the trusts workforce and related policies, standing financial instructions and scheme of delegation, and other relevant policies and procedures. Develop and achieve annual objectives for data services within the framework of the Trusts objectives and agreed strategy. Manage allocated budgets within the requirements of the Trusts Scheme of Delegation and Standing Financial Instructions. Produce an annual rolling investment plan for data infrastructure including capital, revenue and staffing resource. Lead the specification of data platforms. Measure and advance the Trusts analytical maturity using benchmarked standards of assessment. Develop and implement policies and procedures in line with requirements and best practice. Ensure compliance of the clinical systems with Safety of Health Systems standards, appropriate NHS Information Standards Notices (ISNs) and National Patient Safety Agency (NPSA) notices. Ensure compliance with the requirements of information governance, data protection and freedom of information guidance and legislation. RESPONSIBILITIES FOR INFORMATION RESOURCES Support provision of modern digital infrastructure, that fully support the operational, clinical, and business data/intelligence needs of the trust. Oversee the delivery of an effective set of comprehensive and proactive data and intelligence support services. Ensure the effective management of data assets, ensuring these are actively monitored with clear ownership and accountability. Ensure the provision of effective data protection measures to adequately secure and maintain systems data. Lead, link, partner and utilise resources and capabilities available from industry and NHS partners, to provide mutual benefits in the advancement of data utilisation with our patient needs at the centre of all decisions. PERSONAL DEVELOPMENT AND CONDUCT Adhere to impeccable standards of personal conduct and demonstrate commitment to the trusts values. Ensure personal professional knowledge is regularly updated and keep abreast of relevant developments. Adhere to the expectations set by the trusts values. Adhere to the Code of Conduct for NHS Managers. Implement systems and processes, so that in the event of absence, access to all appropriate information is maintained to allow the continued safe and effective running of the services under your leadership. ON-CALL Participate in the Executive on call rota Person Specification Qualifications Educated to Masters level or equivalent experience in a relevant field (e.g. Data Science, Informatics, Computer Science, Public Health). Evidence of continued professional development in data leadership, governance, or analytics. Professional certifications in data governance, data protection, or analytics (e.g. DAMA, CDMP, PRINCE2, TOGAF). Fellowship or membership of relevant professional bodies (e.g. BCS, Faculty of Clinical Informatics). Other Able to work flexible hours if required. Able to participate in an On Call rota if required. Own transport Experience Proven experience in a senior data leadership role within a complex organisation, ideally in healthcare or the public sector. Track record of delivering data strategies and governance Experience working with clinical and operational teams to embed data driven decision making. Experience in managing data architecture, analytics platforms, and data science initiatives Experience of managing and leading external relationships with national bodies and industry partners Experience working within or alongside an NHS Trust, IC, or other healthcare provider. Experience supporting research and innovation through data access and curation. Experience in cross organisational data sharing and regional data collaboration initiatives. Skills Strategic leadership and vision in data management and analytics. Strong stakeholder engagement and influencing skills across clinical, operational, and executive levels. Ability to translate complex data concepts into actionable insights for non technical audiences. Excellent communication, negotiation, and presentation skills. Ability to lead and develop multidisciplinary teams, including data scientists, analysts, and governance professionals. Ability to lead innovation in AI, machine learning, and predictive analytics in a healthcare context. Skilled in change management and digital transformation. Knowledge In depth understanding of NHS data standards, structures, and regulatory frameworks (e.g. NHS Digital, IG Toolkit, Caldicott Principles, GDPR). Knowledge of data governance, data quality management, and information lifecycle principles. Familiarity with modern data platforms, interoperability standards (e.g. FHIR), and analytics tools. Understanding of the NHS Long Term Plan, Data Saves Lives strategy, and Integrated Care Systems (ICS) priorities. Understanding of research data management, clinical trials, and academic data partnerships. Awareness of NHS funding models . click apply for full job details
Jan 06, 2026
Full time
Be the Intelligence Behind the Future of Cancer Care Are you ready to lead one of the most exciting data transformations in UK healthcare? The Christie NHS Foundation Trust is seeking a Chief Data Officer (CDO) to spearhead our journey toward becoming the UK's most intelligent cancer hospital. This is a rare opportunity to shape the future of cancer care through data, analytics, and innovation driving personalised medicine, operational excellence, and ground-breaking research. Why This Role Matters At The Christie, data isn't just numbers it's knowledge, insight, and life saving potential. As CDO, you'll lead the strategic direction of enterprise-wide data management, governance, and analytics. You'll be the architect of our data future, enabling clinicians, researchers, and operational teams to make smarter, faster, and more impactful decisions. You'll champion the Pathway to Intelligent Hospital - Joint Analytics for Cancer, collaborating with national bodies, academic institutions, and industry partners to unlock the power of real world data. Main duties of the job Lead the development and delivery of a Trust wide data strategy aligned with national priorities like Data Saves Lives and the NHS Long Term Plan. Drive innovation in AI, predictive modelling, and population health analytics. Oversee data governance, architecture, and quality across all systems. Enable secure, ethical data sharing to reduce health inequalities. Support research and clinical trials with high quality, curated data. Cultivate a data literacy culture across the Trust, empowering staff to use data for better care and smarter decisions. What We're Looking For We're seeking a visionary leader with: Proven experience in senior data leadership, ideally in healthcare or public sector. Strategic insight and technical expertise in data platforms, governance, and analytics. A passion for innovation, curiosity, and solving complex system wide challenges. The ability to influence at executive level and inspire multidisciplinary teams. A commitment to equity, sustainability, and ethical data use. What Makes This Role Unique This isn't just a data role it's a transformational leadership position. You'll be at the heart of shaping how data drives care, research, and operational strategy in one of the UK's leading cancer centres. You'll have the freedom to innovate, the support to lead, and the platform to make a lasting impact. About us The Christie is one of Europe's leading cancer centres, treating over 60,000 patients a year. We are based in Manchester and serve a population of 3.2 million across Greater Manchester & Cheshire, but as a national specialist around 15 % of patients are referred to us from other parts of the country. We provide radiotherapy through one of the largest radiotherapy departments in the world; chemotherapy on site and through 14 other hospitals; highly specialist surgery for complex and rare cancer; and a wide range of support and diagnostic services. We are also an international leader in research, with world first breakthroughs for over 100 years. We run one of the largest early clinical trial units in Europe with over 300 trials every year. Cancer research in Manchester, most of which is undertaken on the Christie site, has been officially ranked the best in the UK. Job Responsibilities DUTIES AND RESPONSIBILITIES Oversee the quality, security, and lifecycle management of data across all Trust systems. Define the roadmap and oversee the implementation of organisational level data platforms, tools, capabilities and functions to ensure the Christie is a leader in the uses of high quality real world data. Enable the use of data for clinical decision support, operational intelligence, and performance improvement. Support research, innovation, and academic partnerships by ensuring access to high quality, well curated data. Lead the development of advanced analytics capabilities, including AI and predictive modelling, to support population health and personalised care. Develop and implement a Trust wide data strategy aligned with national priorities for cancer care. Lead data governance, ensuring compliance with standards (e.g. GDPR, Caldicott Principles, Ethics). Champion data literacy and foster a culture of data driven decision making across the Trust. Collaborate with partners to enable secure and ethical data sharing across organisational boundaries for the benefit of our patients. PLANNING AND ORGANISATIONAL TASKS / DUTIES Manage and lead teams in line with the trusts workforce and related policies, standing financial instructions and scheme of delegation, and other relevant policies and procedures. Develop and achieve annual objectives for data services within the framework of the Trusts objectives and agreed strategy. Manage allocated budgets within the requirements of the Trusts Scheme of Delegation and Standing Financial Instructions. Produce an annual rolling investment plan for data infrastructure including capital, revenue and staffing resource. Lead the specification of data platforms. Measure and advance the Trusts analytical maturity using benchmarked standards of assessment. Develop and implement policies and procedures in line with requirements and best practice. Ensure compliance of the clinical systems with Safety of Health Systems standards, appropriate NHS Information Standards Notices (ISNs) and National Patient Safety Agency (NPSA) notices. Ensure compliance with the requirements of information governance, data protection and freedom of information guidance and legislation. RESPONSIBILITIES FOR INFORMATION RESOURCES Support provision of modern digital infrastructure, that fully support the operational, clinical, and business data/intelligence needs of the trust. Oversee the delivery of an effective set of comprehensive and proactive data and intelligence support services. Ensure the effective management of data assets, ensuring these are actively monitored with clear ownership and accountability. Ensure the provision of effective data protection measures to adequately secure and maintain systems data. Lead, link, partner and utilise resources and capabilities available from industry and NHS partners, to provide mutual benefits in the advancement of data utilisation with our patient needs at the centre of all decisions. PERSONAL DEVELOPMENT AND CONDUCT Adhere to impeccable standards of personal conduct and demonstrate commitment to the trusts values. Ensure personal professional knowledge is regularly updated and keep abreast of relevant developments. Adhere to the expectations set by the trusts values. Adhere to the Code of Conduct for NHS Managers. Implement systems and processes, so that in the event of absence, access to all appropriate information is maintained to allow the continued safe and effective running of the services under your leadership. ON-CALL Participate in the Executive on call rota Person Specification Qualifications Educated to Masters level or equivalent experience in a relevant field (e.g. Data Science, Informatics, Computer Science, Public Health). Evidence of continued professional development in data leadership, governance, or analytics. Professional certifications in data governance, data protection, or analytics (e.g. DAMA, CDMP, PRINCE2, TOGAF). Fellowship or membership of relevant professional bodies (e.g. BCS, Faculty of Clinical Informatics). Other Able to work flexible hours if required. Able to participate in an On Call rota if required. Own transport Experience Proven experience in a senior data leadership role within a complex organisation, ideally in healthcare or the public sector. Track record of delivering data strategies and governance Experience working with clinical and operational teams to embed data driven decision making. Experience in managing data architecture, analytics platforms, and data science initiatives Experience of managing and leading external relationships with national bodies and industry partners Experience working within or alongside an NHS Trust, IC, or other healthcare provider. Experience supporting research and innovation through data access and curation. Experience in cross organisational data sharing and regional data collaboration initiatives. Skills Strategic leadership and vision in data management and analytics. Strong stakeholder engagement and influencing skills across clinical, operational, and executive levels. Ability to translate complex data concepts into actionable insights for non technical audiences. Excellent communication, negotiation, and presentation skills. Ability to lead and develop multidisciplinary teams, including data scientists, analysts, and governance professionals. Ability to lead innovation in AI, machine learning, and predictive analytics in a healthcare context. Skilled in change management and digital transformation. Knowledge In depth understanding of NHS data standards, structures, and regulatory frameworks (e.g. NHS Digital, IG Toolkit, Caldicott Principles, GDPR). Knowledge of data governance, data quality management, and information lifecycle principles. Familiarity with modern data platforms, interoperability standards (e.g. FHIR), and analytics tools. Understanding of the NHS Long Term Plan, Data Saves Lives strategy, and Integrated Care Systems (ICS) priorities. Understanding of research data management, clinical trials, and academic data partnerships. Awareness of NHS funding models . click apply for full job details
Babcock Mission Critical Services España SA.
City, Bristol
A leading global defense company is seeking a Chief Technologist in AI at their Bristol site. This full-time position offers hybrid working arrangements, requiring substantial technical experience in AI and Machine Learning. The role includes developing AI strategies, enhancing capabilities, and participating in industry groups. Essential experience includes demonstrable expertise in AI and working within multi-disciplinary teams. Candidates must meet specific security clearance requirements.
Jan 06, 2026
Full time
A leading global defense company is seeking a Chief Technologist in AI at their Bristol site. This full-time position offers hybrid working arrangements, requiring substantial technical experience in AI and Machine Learning. The role includes developing AI strategies, enhancing capabilities, and participating in industry groups. Essential experience includes demonstrable expertise in AI and working within multi-disciplinary teams. Candidates must meet specific security clearance requirements.
A technology consultancy in London is seeking a Head of Data Science to lead their Data Science, Machine Learning & Advanced Analytics capability. The ideal candidate will have a proven track record in leadership roles, with experience in driving teams and initiatives that yield positive ROI. This role offers significant growth potential with a hybrid working model and an attractive compensation package.
Jan 06, 2026
Full time
A technology consultancy in London is seeking a Head of Data Science to lead their Data Science, Machine Learning & Advanced Analytics capability. The ideal candidate will have a proven track record in leadership roles, with experience in driving teams and initiatives that yield positive ROI. This role offers significant growth potential with a hybrid working model and an attractive compensation package.
About the team The Solutions Architecture team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer's industry and to drive these initiatives from prototype to production through hands on technical guidance and partnership. As a Solutions Architect, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models. About the role We are looking for a solutions oriented technical leader to engage with customers post sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organisations to establish GenAI roadmaps, strategies, prioritise high value use cases, and guide projects from early prototyping through enterprise grade production deployments. You will take a holistic view of each customer's architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment. This role is based in our London office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees. In this role, you will: Serve as the primary technical subject matter expert post sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open source resources and enterprise facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types. You'll thrive in this role if you: Have 5+ years of technical consulting, post sales engineering, solutions architecture, or similar experience working directly with customers. Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike. Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations. Possess hands on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept. Take end to end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success. Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike. Thrive in fast paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, colour, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affrimaitive Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Jan 06, 2026
Full time
About the team The Solutions Architecture team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer's industry and to drive these initiatives from prototype to production through hands on technical guidance and partnership. As a Solutions Architect, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models. About the role We are looking for a solutions oriented technical leader to engage with customers post sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organisations to establish GenAI roadmaps, strategies, prioritise high value use cases, and guide projects from early prototyping through enterprise grade production deployments. You will take a holistic view of each customer's architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment. This role is based in our London office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees. In this role, you will: Serve as the primary technical subject matter expert post sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open source resources and enterprise facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types. You'll thrive in this role if you: Have 5+ years of technical consulting, post sales engineering, solutions architecture, or similar experience working directly with customers. Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike. Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations. Possess hands on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept. Take end to end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success. Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike. Thrive in fast paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, colour, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affrimaitive Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Jan 05, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Description We're making a significant investment in pricing capability with a comprehensive pricing transformation programme. This includes the implementation of new pricing software, market-leading modelling, and performance monitoring approaches. Our pricing structure is more aligned to focus on the key disciplines of technical pricing, market pricing and pricing governance. As a result, several vacancies have arisen, with a need for strong data science, actuarial and governance skills. Do you have expertise in Retail Pricing data and modelling techniques coupled with price optimisation and other actuarial techniques within the Insurance industry? We're seeking an experienced Senior Retail Pricing Analyst (Individual) to help deliver the Retail Pricing strategy for the Individual private medical (PMI) cover and non-PMI portfolio in our Pricing team in AXA Health. Reporting to our Retail Pricing Manager (Individual), you'll continually refine Retail Pricing models and fine-tune the optimisation of Individual rates in the market to strike the required balance between volume and value. At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We're also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. What you'll be doing: Building behavioural, demand, and market premium models in Radar that are robust, adhere to regulatory rules, and continuously enhance value. Delivering model performance monitoring, recommending model reviews and agile interim rating changes, maintain and enhance Radar LTV models, ensuring assumptions are robust. Delivering and refine Radar optimisation and rating models to deliver required volume and value results, taking insight-led action to fine-tune trading performance. Delivering pricing recommendations for legacy Individual PMI and non-PMI portfolios prior to migration, using new and existing models to inform proposals, and support migration pricing requirements. Supporting Portfolio Management with evaluation of new deals, offers and tests, ensure fair pricing policy and conduct expectations are adhered to in pricing proposals. Ensuring modelling and performance data is robust, liaising with Data & Systems team to initiate appropriate improvements Coaching and mentoring junior Pricing Analysts, peer reviewing their models and recommending improvements as appropriate. Building effective working relationships with other Pricing teams, Distribution, Propositions, Finance, Medical Underwriting and Compliance. Due to the number of applications, we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we're able to effectively manage interest. Therefore, if you're interested in joining us at AXA, please don't hesitate to apply. We know that some candidates may be discouraged from applying if they don't meet every requirement. If you're excited by this job and the prospect of working at AXA but you're not sure you tick every box, we'd still encourage you to apply. What you'll bring: Expert knowledge of retail pricing data and modelling techniques, including GLMs and machine learning such as GBMs, within the insurance industry. Expert knowledge of price optimisation and other actuarial techniques including reserving, and P&L dynamics of an insurance company. Significant experience of using Radar pricing software. Higher education (equivalent grades of 2:1 or higher) in a mathematics or statistics related discipline and ideally studying towards actuarial qualification. Understanding of the regulatory environment in which the business operates and understanding of the dynamics of large organisations. Outstanding communication and influencing skills. Solution focused, with a strong focus on delivery, and desire for continuous improvement. Self-motivated with a can-do attitude, valuing the contribution of others and understanding the need for collaboration. As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. This position has been defined as an Insurance Distribution Directive (IDD) role under the IDD regime which means that in addition to pre-employment screening checks, the successful candidate will be subject to background screening every 4 years with an annual declaration in interim years. What we offer: At AXA UK, we're appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive: Competitive annual salary dependent on experience Annual company & performance-based bonus Contributory pension scheme (up to 12% employer contributions) Life Assurance (up to 10 x annual salary) Private medical cover 25 days annual leave plus Bank Holidays Opportunity to buy up to 5 extra days leave or sell up to 5 days leave Wellbeing services & resources AXA employee discounts To apply, click on the 'apply for this job' button, you'll then need to log in or create a profile to submit your CV. We're proud to be an Equal Opportunities Employer and don't discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we're proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to . Who we are: At AXA Health, we're passionate about helping our members to put their health first, whether that's individuals and families, small businesses, or huge corporates. From fast access to diagnosis and treatment, to guidance and tools that can help them manage their health every day, not just when there's a problem, our members can be confident we'll guide them, every step of the way.
Jan 05, 2026
Full time
Description We're making a significant investment in pricing capability with a comprehensive pricing transformation programme. This includes the implementation of new pricing software, market-leading modelling, and performance monitoring approaches. Our pricing structure is more aligned to focus on the key disciplines of technical pricing, market pricing and pricing governance. As a result, several vacancies have arisen, with a need for strong data science, actuarial and governance skills. Do you have expertise in Retail Pricing data and modelling techniques coupled with price optimisation and other actuarial techniques within the Insurance industry? We're seeking an experienced Senior Retail Pricing Analyst (Individual) to help deliver the Retail Pricing strategy for the Individual private medical (PMI) cover and non-PMI portfolio in our Pricing team in AXA Health. Reporting to our Retail Pricing Manager (Individual), you'll continually refine Retail Pricing models and fine-tune the optimisation of Individual rates in the market to strike the required balance between volume and value. At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We're also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. What you'll be doing: Building behavioural, demand, and market premium models in Radar that are robust, adhere to regulatory rules, and continuously enhance value. Delivering model performance monitoring, recommending model reviews and agile interim rating changes, maintain and enhance Radar LTV models, ensuring assumptions are robust. Delivering and refine Radar optimisation and rating models to deliver required volume and value results, taking insight-led action to fine-tune trading performance. Delivering pricing recommendations for legacy Individual PMI and non-PMI portfolios prior to migration, using new and existing models to inform proposals, and support migration pricing requirements. Supporting Portfolio Management with evaluation of new deals, offers and tests, ensure fair pricing policy and conduct expectations are adhered to in pricing proposals. Ensuring modelling and performance data is robust, liaising with Data & Systems team to initiate appropriate improvements Coaching and mentoring junior Pricing Analysts, peer reviewing their models and recommending improvements as appropriate. Building effective working relationships with other Pricing teams, Distribution, Propositions, Finance, Medical Underwriting and Compliance. Due to the number of applications, we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we're able to effectively manage interest. Therefore, if you're interested in joining us at AXA, please don't hesitate to apply. We know that some candidates may be discouraged from applying if they don't meet every requirement. If you're excited by this job and the prospect of working at AXA but you're not sure you tick every box, we'd still encourage you to apply. What you'll bring: Expert knowledge of retail pricing data and modelling techniques, including GLMs and machine learning such as GBMs, within the insurance industry. Expert knowledge of price optimisation and other actuarial techniques including reserving, and P&L dynamics of an insurance company. Significant experience of using Radar pricing software. Higher education (equivalent grades of 2:1 or higher) in a mathematics or statistics related discipline and ideally studying towards actuarial qualification. Understanding of the regulatory environment in which the business operates and understanding of the dynamics of large organisations. Outstanding communication and influencing skills. Solution focused, with a strong focus on delivery, and desire for continuous improvement. Self-motivated with a can-do attitude, valuing the contribution of others and understanding the need for collaboration. As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom. This position has been defined as an Insurance Distribution Directive (IDD) role under the IDD regime which means that in addition to pre-employment screening checks, the successful candidate will be subject to background screening every 4 years with an annual declaration in interim years. What we offer: At AXA UK, we're appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive: Competitive annual salary dependent on experience Annual company & performance-based bonus Contributory pension scheme (up to 12% employer contributions) Life Assurance (up to 10 x annual salary) Private medical cover 25 days annual leave plus Bank Holidays Opportunity to buy up to 5 extra days leave or sell up to 5 days leave Wellbeing services & resources AXA employee discounts To apply, click on the 'apply for this job' button, you'll then need to log in or create a profile to submit your CV. We're proud to be an Equal Opportunities Employer and don't discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we're proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to . Who we are: At AXA Health, we're passionate about helping our members to put their health first, whether that's individuals and families, small businesses, or huge corporates. From fast access to diagnosis and treatment, to guidance and tools that can help them manage their health every day, not just when there's a problem, our members can be confident we'll guide them, every step of the way.
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.
Jan 05, 2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges? Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you'll help shape the future of subsurface interpretation and modelling. Key Responsibilities Under supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients. Required Qualifications & Skills Honors degree (2:1 or above) geoscience. 2 - 5 years relevant industry experience Strong understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology. Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy). Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication and teamwork skills in a collaborative R&D environment. AI / ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience advancements to drive innovation. Contribute to publications, patents, and technical presentations. Desirable Experience Proven application of AI/ML in geoscience projects. Experience in the energy sector. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204383 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a 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.
Jan 05, 2026
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.
