Our Mission At Carbon Re, we're on a mission to cut gigatonnes of carbon emissions from the world's biggest emitting industries - like cement, steel, and glass - by applying cutting edge AI where it matters most. We're a small and growing team of scientists, engineers, and strategic thinkers who care deeply about impact and believe in getting there with good humour and urgency. Our SaaS products help heavy industry optimise operations in real time, cutting costs and carbon today while building the foundation for the next industrial revolution. About the Role We're seeking a Solutions Engineer - Process Control to join our Product and Solutions Engineering team and sit on the frontline of industry decarbonisation. This role blends industrial process expertise, control engineering, and deployment leadership. You'll work directly with process engineers and plant operators to understand complex chemical processes, design the best AI control strategies, and integrate Carbon Re's AI into live production environments, ensuring that our technology aligns with operational realities and delivers measurable value. Think of it as the process engineer's trusted partner - technical, pragmatic, and collaborative. You'll lead deployments, translate AI outputs into actionable control strategies, and help shape Carbon Re's approach to scaling advanced process optimisation across global industrial sites. Your Main Responsibilities Deploy & integrate Carbon Re AI into live cement and industrial plants, ensuring stable, safe, and effective operation within existing process control frameworks. Collaborate with plant and process teams to identify optimisation opportunities, tune control loops, and validate performance improvements. Analyse plant data to assess and identify opportunities, and evaluate the performance of Carbon Re's software. Develop and refine control strategies, leveraging APC, MPC, and PID principles to bridge AI recommendations with practical plant control systems. Build trust and engagement with process engineers and operators by clearly explaining technical decisions and demonstrating measurable benefits. Collaborate with machine learning engineers to refine algorithms and recommendations based on real world outcomes. Support deployment playbooks and templates, ensuring repeatable, scalable, and high quality rollouts across plants. Act as a feedback link to Carbon Re's product and machine learning teams, providing field insights that shape our product roadmap and model development. Travel to sites ( 1 week/month) to work hands on with teams during commissioning, testing, and optimisation phases. What a Great Fit Looks Like Strong background in process or control engineering, ideally in cement, chemicals, energy, or heavy manufacturing. Experience with advanced process control (APC/MPC/PID) systems and process optimisation projects. Familiarity with industrial automation systems (e.g., DCS, PLC, OPC, historian systems). Understanding of AI/ML applications in process control (forecasting, optimisation, anomaly detection) is a plus. Comfortable collaborating with operators, engineers, and data scientists - bridging industrial know how with data driven insights. Analytical and hands on mindset: capable of diagnosing process instabilities and proposing actionable solutions. Excellent communication skills - able to build credibility and trust in complex industrial environments. Willingness to travel regularly to deployment sites ( 25%). You'll Excel If You're a practical problem solver who enjoys working on real world process challenges. You've implemented or tuned control systems and understand how to balance process stability, quality, and energy efficiency. You're confident working across technical, operational, and business interfaces, turning complex problems into structured solutions. You thrive in dynamic, high impact environments, where every deployment directly contributes to decarbonisation. You can translate between AI outputs and process logic, ensuring plant teams understand and trust automation strategies. Success in This Role Means Plants achieve measurable performance improvements - lower costs, reduced CO , improved stability. Customer process engineers trust you as a reliable partner who understands their world. Deployments become more repeatable, efficient, and scalable thanks to your control and process insights. Carbon Re's solutions evolve from AI algorithms into robust, operator friendly process control systems. You are not expected to check every box, and we'd love to hear from you even if your experience isn't an exact match. We're building a team that reflects the world we want to change. Our people come from all walks of life - different countries, cultures and experiences - and we think that's one of our biggest strengths. We're committed to creating a workplace where everyone feels safe, respected and celebrated. No matter your background, if you're excited by what we do, we want to hear from you. In return for your hard work, we'll give you A competitive salary £60,000 £80,000 Equity in the company When we win, you win. You'll get share options so you're part of our journey from the inside. ️ Flexible working We trust you to know how and when you work best and to work that out with your team. 30 days of holiday (plus bank holidays) Rest is productive. Take the time you need to recharge A generous pension scheme We're planning for the future in more ways than one. The interview process Learn about us during a screening with our talent partner If this item goes well we will submit your profile to the hiring lead, You will get given feedback either way Technical Interview Cement Process Optimisation For candidates: Work through a kiln optimisation scenario, balancing process stability, clinker quality, fuel use, and emissions to recommend an operating strategy. What it's assessing: Ability to reason about complex plant dynamics, weigh competing trade offs, and connect process decisions to overall plant performance and cost impact. Technical Interview 2 Interview 2: Cement Process Optimisation For candidates: Work through a kiln optimisation scenario, balancing process stability, clinker quality, fuel use, and emissions to recommend an operating strategy. What it's assessing: Ability to reason about complex plant dynamics, weigh competing trade offs, and connect process decisions to overall plant performance and cost impact. Operating Principles Interview Meeting with our CEO We believe hiring is a two way process. Just as we'll reference check candidates before making a final offer, we encourage you to reference check us by chatting to team members you haven't yet met. Ask anything. We'll answer with Concrete Honestly. Once interviews are done, we'll move quickly to a decision, and we're always happy to give feedback at any stage. Our operating principles We're building a workplace that's ambitious, kind, and a little bit different. Somewhere you can do your best work alongside people you respect and enjoy being around. Our operating principles help guide how we show up every day: Concrete Honesty Say it how it is. Our honesty is strong, foundational, and built to last. Forever Optimising We're in the business of always tweaking, testing and improving. Increase Torque We move with urgency because the climate crisis won't wait. Maintain Reliability We build trust by showing up, following through, and having each other's backs. Cement It with Fun & Kindness We're here to extend Earth's life, but ours is still limited. Let's enjoy it and be good to each other while we do. To see these in full go to Carbon Re's Operating Principles Notion page.
Feb 07, 2026
Full time
Our Mission At Carbon Re, we're on a mission to cut gigatonnes of carbon emissions from the world's biggest emitting industries - like cement, steel, and glass - by applying cutting edge AI where it matters most. We're a small and growing team of scientists, engineers, and strategic thinkers who care deeply about impact and believe in getting there with good humour and urgency. Our SaaS products help heavy industry optimise operations in real time, cutting costs and carbon today while building the foundation for the next industrial revolution. About the Role We're seeking a Solutions Engineer - Process Control to join our Product and Solutions Engineering team and sit on the frontline of industry decarbonisation. This role blends industrial process expertise, control engineering, and deployment leadership. You'll work directly with process engineers and plant operators to understand complex chemical processes, design the best AI control strategies, and integrate Carbon Re's AI into live production environments, ensuring that our technology aligns with operational realities and delivers measurable value. Think of it as the process engineer's trusted partner - technical, pragmatic, and collaborative. You'll lead deployments, translate AI outputs into actionable control strategies, and help shape Carbon Re's approach to scaling advanced process optimisation across global industrial sites. Your Main Responsibilities Deploy & integrate Carbon Re AI into live cement and industrial plants, ensuring stable, safe, and effective operation within existing process control frameworks. Collaborate with plant and process teams to identify optimisation opportunities, tune control loops, and validate performance improvements. Analyse plant data to assess and identify opportunities, and evaluate the performance of Carbon Re's software. Develop and refine control strategies, leveraging APC, MPC, and PID principles to bridge AI recommendations with practical plant control systems. Build trust and engagement with process engineers and operators by clearly explaining technical decisions and demonstrating measurable benefits. Collaborate with machine learning engineers to refine algorithms and recommendations based on real world outcomes. Support deployment playbooks and templates, ensuring repeatable, scalable, and high quality rollouts across plants. Act as a feedback link to Carbon Re's product and machine learning teams, providing field insights that shape our product roadmap and model development. Travel to sites ( 1 week/month) to work hands on with teams during commissioning, testing, and optimisation phases. What a Great Fit Looks Like Strong background in process or control engineering, ideally in cement, chemicals, energy, or heavy manufacturing. Experience with advanced process control (APC/MPC/PID) systems and process optimisation projects. Familiarity with industrial automation systems (e.g., DCS, PLC, OPC, historian systems). Understanding of AI/ML applications in process control (forecasting, optimisation, anomaly detection) is a plus. Comfortable collaborating with operators, engineers, and data scientists - bridging industrial know how with data driven insights. Analytical and hands on mindset: capable of diagnosing process instabilities and proposing actionable solutions. Excellent communication skills - able to build credibility and trust in complex industrial environments. Willingness to travel regularly to deployment sites ( 25%). You'll Excel If You're a practical problem solver who enjoys working on real world process challenges. You've implemented or tuned control systems and understand how to balance process stability, quality, and energy efficiency. You're confident working across technical, operational, and business interfaces, turning complex problems into structured solutions. You thrive in dynamic, high impact environments, where every deployment directly contributes to decarbonisation. You can translate between AI outputs and process logic, ensuring plant teams understand and trust automation strategies. Success in This Role Means Plants achieve measurable performance improvements - lower costs, reduced CO , improved stability. Customer process engineers trust you as a reliable partner who understands their world. Deployments become more repeatable, efficient, and scalable thanks to your control and process insights. Carbon Re's solutions evolve from AI algorithms into robust, operator friendly process control systems. You are not expected to check every box, and we'd love to hear from you even if your experience isn't an exact match. We're building a team that reflects the world we want to change. Our people come from all walks of life - different countries, cultures and experiences - and we think that's one of our biggest strengths. We're committed to creating a workplace where everyone feels safe, respected and celebrated. No matter your background, if you're excited by what we do, we want to hear from you. In return for your hard work, we'll give you A competitive salary £60,000 £80,000 Equity in the company When we win, you win. You'll get share options so you're part of our journey from the inside. ️ Flexible working We trust you to know how and when you work best and to work that out with your team. 30 days of holiday (plus bank holidays) Rest is productive. Take the time you need to recharge A generous pension scheme We're planning for the future in more ways than one. The interview process Learn about us during a screening with our talent partner If this item goes well we will submit your profile to the hiring lead, You will get given feedback either way Technical Interview Cement Process Optimisation For candidates: Work through a kiln optimisation scenario, balancing process stability, clinker quality, fuel use, and emissions to recommend an operating strategy. What it's assessing: Ability to reason about complex plant dynamics, weigh competing trade offs, and connect process decisions to overall plant performance and cost impact. Technical Interview 2 Interview 2: Cement Process Optimisation For candidates: Work through a kiln optimisation scenario, balancing process stability, clinker quality, fuel use, and emissions to recommend an operating strategy. What it's assessing: Ability to reason about complex plant dynamics, weigh competing trade offs, and connect process decisions to overall plant performance and cost impact. Operating Principles Interview Meeting with our CEO We believe hiring is a two way process. Just as we'll reference check candidates before making a final offer, we encourage you to reference check us by chatting to team members you haven't yet met. Ask anything. We'll answer with Concrete Honestly. Once interviews are done, we'll move quickly to a decision, and we're always happy to give feedback at any stage. Our operating principles We're building a workplace that's ambitious, kind, and a little bit different. Somewhere you can do your best work alongside people you respect and enjoy being around. Our operating principles help guide how we show up every day: Concrete Honesty Say it how it is. Our honesty is strong, foundational, and built to last. Forever Optimising We're in the business of always tweaking, testing and improving. Increase Torque We move with urgency because the climate crisis won't wait. Maintain Reliability We build trust by showing up, following through, and having each other's backs. Cement It with Fun & Kindness We're here to extend Earth's life, but ours is still limited. Let's enjoy it and be good to each other while we do. To see these in full go to Carbon Re's Operating Principles Notion page.
Lead Data Scientist, Telematics and Insurance London. Hybrid 1 to 2 days onsite Salary up to 110,000 plus bonus and benefits Working exclusively with my client, this role exists due to business expansion. The data science function launched in early 2023 and focuses on pricing and telematics driven products. The team already delivered over 20 percent profitability uplift across core insurance products using price optimisation models. The role owns data structure and value extraction from large scale telematics data. The focus sits on turning driving behaviour into clear pricing and operational decisions for insurance products. The business operates a champion challenger framework. The team delivers frequent model improvements through strong code standards and repeatable processes. Work happens at pace and at scale. What you will do: You will lead technical delivery across telematics data science. You will shape how data turns into pricing value and operational insight across the wider business. Day to day responsibilities Design and deliver analytical solutions using telematics data Lead development of scoring and pricing algorithms Own end to end machine learning pipelines from data through production Work hands on with Python and Databricks Build repeatable and product agnostic training and serving frameworks Translate model outputs into clear guidance for pricing, operations, and finance Provide technical leadership and mentoring Challenge existing approaches within insurance pricing Take full ownership of delivery approach and outcomes Technology environment Python Databricks Large scale and streaming data Spark or Kafka style processing Tree based models and deep neural networks Production grade machine learning systems What my client look for Essential experience Senior level data science delivery Large scale or time series data End to end machine learning delivery in production Strong Python engineering Solid statistical foundations Proven commercial impact from models delivered Desirable experience Telematics or sensor based data Insurance or pricing domain exposure Experience leading small teams Evidence of idea generation and product thinking What you will work on over the next 6 to 12 months Core telematics pricing models Expansion into fleet and taxi products New data driven insurance propositions Shaping long term data science strategy Building a team around this capability Why join This role offers full ownership of a high growth data product. The business doubled in size recently and plans further growth. You influence tooling, platforms, and technical direction. You build long term capability and there is an opportunity to grow a team further down the line. Please apply for more information if this sounds like a role for you.
Feb 07, 2026
Full time
Lead Data Scientist, Telematics and Insurance London. Hybrid 1 to 2 days onsite Salary up to 110,000 plus bonus and benefits Working exclusively with my client, this role exists due to business expansion. The data science function launched in early 2023 and focuses on pricing and telematics driven products. The team already delivered over 20 percent profitability uplift across core insurance products using price optimisation models. The role owns data structure and value extraction from large scale telematics data. The focus sits on turning driving behaviour into clear pricing and operational decisions for insurance products. The business operates a champion challenger framework. The team delivers frequent model improvements through strong code standards and repeatable processes. Work happens at pace and at scale. What you will do: You will lead technical delivery across telematics data science. You will shape how data turns into pricing value and operational insight across the wider business. Day to day responsibilities Design and deliver analytical solutions using telematics data Lead development of scoring and pricing algorithms Own end to end machine learning pipelines from data through production Work hands on with Python and Databricks Build repeatable and product agnostic training and serving frameworks Translate model outputs into clear guidance for pricing, operations, and finance Provide technical leadership and mentoring Challenge existing approaches within insurance pricing Take full ownership of delivery approach and outcomes Technology environment Python Databricks Large scale and streaming data Spark or Kafka style processing Tree based models and deep neural networks Production grade machine learning systems What my client look for Essential experience Senior level data science delivery Large scale or time series data End to end machine learning delivery in production Strong Python engineering Solid statistical foundations Proven commercial impact from models delivered Desirable experience Telematics or sensor based data Insurance or pricing domain exposure Experience leading small teams Evidence of idea generation and product thinking What you will work on over the next 6 to 12 months Core telematics pricing models Expansion into fleet and taxi products New data driven insurance propositions Shaping long term data science strategy Building a team around this capability Why join This role offers full ownership of a high growth data product. The business doubled in size recently and plans further growth. You influence tooling, platforms, and technical direction. You build long term capability and there is an opportunity to grow a team further down the line. Please apply for more information if this sounds like a role for you.
Python Fullstack Developer - London - 5 Days ONSITE - PAYE Day Rate: 650-750 Who We Are We are a consultancy operating within Robert Walters, the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. The Role We are seeking a Python Full Stack Developer to join Robert Walters as a Consultant. As a consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our clients' organisations, a large US investment bank. In return we will provide you with the opportunity to develop your skills with ongoing training and professional support. This role offers an exciting opportunity to join a global business, providing top-tier service to our blue chip clients. Description: We have an exciting and rewarding opportunity for a hands-on engineering leader to set technical direction, coach a high-performing agile team, and deliver trusted, market-leading technology products for the Asset Management Research Technology organization. As the Software Engineering Lead, you will own outcomes across architecture, delivery, and people leadership, guiding the team building cloud-native solutions-especially ensuring security, reliability, and scalability. What You'll Do * Develops secure and high-quality production code, and reviews and debugs code written by others, with a focus on cloud-based systems using AWS and Python. * Drives decisions that influence the product design, application functionality, and technical operations and processes. * Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle. * Influences peers and project decision-makers to consider the use and application of leading-edge technologies. * Adds to the team culture of diversity, opportunity, inclusion, and respect. What You Bring * 7+ years of Python experience in system design, application development, testing, and operational stability within cloud environments. * Front End development experience using React. * Deep expertise in cloud-native systems, AI, and machine learning, with strong implementation experience on AWS. * Proven self-starter with the ability to independently design solutions and own execution end-to-end with minimal oversight. * Educational or professional background in Computer Science, Computer Engineering, Mathematics, or a related technical field. What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
Feb 06, 2026
Contractor
Python Fullstack Developer - London - 5 Days ONSITE - PAYE Day Rate: 650-750 Who We Are We are a consultancy operating within Robert Walters, the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. The Role We are seeking a Python Full Stack Developer to join Robert Walters as a Consultant. As a consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our clients' organisations, a large US investment bank. In return we will provide you with the opportunity to develop your skills with ongoing training and professional support. This role offers an exciting opportunity to join a global business, providing top-tier service to our blue chip clients. Description: We have an exciting and rewarding opportunity for a hands-on engineering leader to set technical direction, coach a high-performing agile team, and deliver trusted, market-leading technology products for the Asset Management Research Technology organization. As the Software Engineering Lead, you will own outcomes across architecture, delivery, and people leadership, guiding the team building cloud-native solutions-especially ensuring security, reliability, and scalability. What You'll Do * Develops secure and high-quality production code, and reviews and debugs code written by others, with a focus on cloud-based systems using AWS and Python. * Drives decisions that influence the product design, application functionality, and technical operations and processes. * Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle. * Influences peers and project decision-makers to consider the use and application of leading-edge technologies. * Adds to the team culture of diversity, opportunity, inclusion, and respect. What You Bring * 7+ years of Python experience in system design, application development, testing, and operational stability within cloud environments. * Front End development experience using React. * Deep expertise in cloud-native systems, AI, and machine learning, with strong implementation experience on AWS. * Proven self-starter with the ability to independently design solutions and own execution end-to-end with minimal oversight. * Educational or professional background in Computer Science, Computer Engineering, Mathematics, or a related technical field. What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
We are seeking an experienced and highly skilled Drone Pilot to assist in the development and training of AI models, specifically in the areas of computer vision, sensor fusion, and autonomous navigation. The ideal candidate will be responsible for collecting high quality data in real world environments, contributing to the optimization of AI algorithms that power autonomous systems. As a Drone Pilot for AI & Autonomous Systems Training, you will operate advanced drones to capture data essential for training and validating AI models that power autonomous navigation, object detection, and decision making systems. Key Responsibilities: Pilot drones equipped with high resolution cameras, LiDAR, thermal imaging, and other sensors to collect diverse datasets used for training AI algorithms, particularly for autonomous navigation, computer vision, and sensor fusion. Capture data in various real world conditions (e.g., urban, rural, industrial, challenging weather conditions) to expose AI systems to a wide range of environments and scenarios. Execute complex drone missions with precise data collection objectives, such as aerial mapping, 3D reconstruction, obstacle detection, and object tracking. Collaborate closely with AI engineers, machine learning specialists, and autonomous systems teams to ensure data collection aligns with the specific requirements of AI model training. Perform post flight data quality checks and initial preprocessing to ensure the datasets are ready for use in training AI models. Operate drones in both manual and autonomous modes, supporting AI driven flight operations where drones rely on onboard algorithms for navigation and decision making. Adhere to the UK Civil Aviation Authority (CAA) and local aviation regulations governing drone operations, ensuring the safe and compliant conduct of all drone missions. Oversee the maintenance, calibration, and troubleshooting of drones and onboard sensors to ensure the highest standards of performance and reliability. Qualifications: Commercial drone pilot certification (CAA or equivalent), with additional certifications in safety or advanced drone technologies considered a plus. Proven track record as a drone pilot, with significant experience in collecting data for industrial, research, or AI focused applications. Expertise in flying drones equipped with advanced sensors such as LiDAR, thermal cameras, RGB cameras, and multispectral sensors. Familiarity with the nuances of autonomous flight, sensor integration, and machine learning workflows, especially those that involve real time data processing. Strong understanding of how drone collected data is used for AI training, including its role in training AI for perception, navigation, and decision making. Experience in using software for flight planning, such as Pix4D, DroneDeploy, or similar platforms, and geospatial data analysis tools. Familiarity with machine learning concepts, especially those related to computer vision (e.g., image segmentation, object detection, and tracking) and autonomous navigation systems. Basic understanding of geospatial data processing, photogrammetry, and 3D reconstruction techniques for AI applications. Strong attention to detail with a commitment to ensuring the highest quality of data collection and analysis. Excellent communication and collaboration skills, with the ability to work in multidisciplinary teams. We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!
Feb 06, 2026
Full time
We are seeking an experienced and highly skilled Drone Pilot to assist in the development and training of AI models, specifically in the areas of computer vision, sensor fusion, and autonomous navigation. The ideal candidate will be responsible for collecting high quality data in real world environments, contributing to the optimization of AI algorithms that power autonomous systems. As a Drone Pilot for AI & Autonomous Systems Training, you will operate advanced drones to capture data essential for training and validating AI models that power autonomous navigation, object detection, and decision making systems. Key Responsibilities: Pilot drones equipped with high resolution cameras, LiDAR, thermal imaging, and other sensors to collect diverse datasets used for training AI algorithms, particularly for autonomous navigation, computer vision, and sensor fusion. Capture data in various real world conditions (e.g., urban, rural, industrial, challenging weather conditions) to expose AI systems to a wide range of environments and scenarios. Execute complex drone missions with precise data collection objectives, such as aerial mapping, 3D reconstruction, obstacle detection, and object tracking. Collaborate closely with AI engineers, machine learning specialists, and autonomous systems teams to ensure data collection aligns with the specific requirements of AI model training. Perform post flight data quality checks and initial preprocessing to ensure the datasets are ready for use in training AI models. Operate drones in both manual and autonomous modes, supporting AI driven flight operations where drones rely on onboard algorithms for navigation and decision making. Adhere to the UK Civil Aviation Authority (CAA) and local aviation regulations governing drone operations, ensuring the safe and compliant conduct of all drone missions. Oversee the maintenance, calibration, and troubleshooting of drones and onboard sensors to ensure the highest standards of performance and reliability. Qualifications: Commercial drone pilot certification (CAA or equivalent), with additional certifications in safety or advanced drone technologies considered a plus. Proven track record as a drone pilot, with significant experience in collecting data for industrial, research, or AI focused applications. Expertise in flying drones equipped with advanced sensors such as LiDAR, thermal cameras, RGB cameras, and multispectral sensors. Familiarity with the nuances of autonomous flight, sensor integration, and machine learning workflows, especially those that involve real time data processing. Strong understanding of how drone collected data is used for AI training, including its role in training AI for perception, navigation, and decision making. Experience in using software for flight planning, such as Pix4D, DroneDeploy, or similar platforms, and geospatial data analysis tools. Familiarity with machine learning concepts, especially those related to computer vision (e.g., image segmentation, object detection, and tracking) and autonomous navigation systems. Basic understanding of geospatial data processing, photogrammetry, and 3D reconstruction techniques for AI applications. Strong attention to detail with a commitment to ensuring the highest quality of data collection and analysis. Excellent communication and collaboration skills, with the ability to work in multidisciplinary teams. We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!
Job Description: Technical Manager is accountable for wholistic factory assets management to ensure all machine & equipment are in good condition & reliability to serve business priorities & purposes. This role is also managing technical team's associates to have appropriate knowledge , skills & capability to effectively perform all asset management activities together with strong awareness & mindset adhere to all Safety and Quality policies in the factory with solid succession pipeline for future. What are we looking for? You will have in depth e xperience in Technical or Production area within FMCG . You will demonstrate excellence in people leadership and project management, preferable in an engineering/supply environment You will have s trong line management experience and track record of performance and people development . You will have e xperience/knowledge of broader supply functions like Q&FS, IE, HSE, Manufacturing You will have b udget management experience of >£1m TPM (Total Productive Maintenance) type experience with emphasis on PM (Progress Maintenance) and EM (Early Management) pillar leadership You will be fluent in English, both written and verbal. What will be your key responsibilities? Provide strategic and technical leadership to the Maintenance and Engineering teams. Provide innovative solutions resulting in sustained technical competitive advantage. The development and delivery of multi-year maintenance and engineering strategy to execute deliver critical KPI's for Supply Chain/Operations . Leading and facilitating the Progressive Maintenance Pillar . Management of all utilities, maintenance, & engineering at site Technical asset management from early equipment management, project management ( i.e. design, installation, vertical start-up), optimization, maintenance and retirement . The delivery of new product initiatives at the site to meet business needs . Ensure compliance with Mars standards related to technical job function of site Manage Maintenance costs to ensure the budgeting process is accurate and the department meets the business requirements . Deliver sites engineering projects to scope, timing, and costs . Develop and sustain maintenance predictive technology strategies to provide a proactive maintenance culture . Maintenance and Engineering team engagement and associate development . What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. A strong focus on learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus.
Feb 05, 2026
Full time
Job Description: Technical Manager is accountable for wholistic factory assets management to ensure all machine & equipment are in good condition & reliability to serve business priorities & purposes. This role is also managing technical team's associates to have appropriate knowledge , skills & capability to effectively perform all asset management activities together with strong awareness & mindset adhere to all Safety and Quality policies in the factory with solid succession pipeline for future. What are we looking for? You will have in depth e xperience in Technical or Production area within FMCG . You will demonstrate excellence in people leadership and project management, preferable in an engineering/supply environment You will have s trong line management experience and track record of performance and people development . You will have e xperience/knowledge of broader supply functions like Q&FS, IE, HSE, Manufacturing You will have b udget management experience of >£1m TPM (Total Productive Maintenance) type experience with emphasis on PM (Progress Maintenance) and EM (Early Management) pillar leadership You will be fluent in English, both written and verbal. What will be your key responsibilities? Provide strategic and technical leadership to the Maintenance and Engineering teams. Provide innovative solutions resulting in sustained technical competitive advantage. The development and delivery of multi-year maintenance and engineering strategy to execute deliver critical KPI's for Supply Chain/Operations . Leading and facilitating the Progressive Maintenance Pillar . Management of all utilities, maintenance, & engineering at site Technical asset management from early equipment management, project management ( i.e. design, installation, vertical start-up), optimization, maintenance and retirement . The delivery of new product initiatives at the site to meet business needs . Ensure compliance with Mars standards related to technical job function of site Manage Maintenance costs to ensure the budgeting process is accurate and the department meets the business requirements . Deliver sites engineering projects to scope, timing, and costs . Develop and sustain maintenance predictive technology strategies to provide a proactive maintenance culture . Maintenance and Engineering team engagement and associate development . What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. A strong focus on learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus.
Job Description: Technical Manager is accountable for wholistic factory assets management to ensure all machine & equipment are in good condition & reliability to serve business priorities & purposes. This role is also managing technical team's associates to have appropriate knowledge , skills & capability to effectively perform all asset management activities together with strong awareness & mindset adhere to all Safety and Quality policies in the factory with solid succession pipeline for future. What are we looking for? You will have in depth e xperience in Technical or Production area within FMCG . You will demonstrate excellence in people leadership and project management, preferable in an engineering/supply environment You will have s trong line management experience and track record of performance and people development . You will have e xperience/knowledge of broader supply functions like Q&FS, IE, HSE, Manufacturing You will have b udget management experience of >£1m TPM (Total Productive Maintenance) type experience with emphasis on PM (Progress Maintenance) and EM (Early Management) pillar leadership You will be fluent in English, both written and verbal. What will be your key responsibilities? Provide strategic and technical leadership to the Maintenance and Engineering teams. Provide innovative solutions resulting in sustained technical competitive advantage. The development and delivery of multi-year maintenance and engineering strategy to execute deliver critical KPI's for Supply Chain/Operations . Leading and facilitating the Progressive Maintenance Pillar . Management of all utilities, maintenance, & engineering at site Technical asset management from early equipment management, project management ( i.e. design, installation, vertical start-up), optimization, maintenance and retirement . The delivery of new product initiatives at the site to meet business needs . Ensure compliance with Mars standards related to technical job function of site Manage Maintenance costs to ensure the budgeting process is accurate and the department meets the business requirements . Deliver sites engineering projects to scope, timing, and costs . Develop and sustain maintenance predictive technology strategies to provide a proactive maintenance culture . Maintenance and Engineering team engagement and associate development . What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. A strong focus on learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus.
Feb 05, 2026
Full time
Job Description: Technical Manager is accountable for wholistic factory assets management to ensure all machine & equipment are in good condition & reliability to serve business priorities & purposes. This role is also managing technical team's associates to have appropriate knowledge , skills & capability to effectively perform all asset management activities together with strong awareness & mindset adhere to all Safety and Quality policies in the factory with solid succession pipeline for future. What are we looking for? You will have in depth e xperience in Technical or Production area within FMCG . You will demonstrate excellence in people leadership and project management, preferable in an engineering/supply environment You will have s trong line management experience and track record of performance and people development . You will have e xperience/knowledge of broader supply functions like Q&FS, IE, HSE, Manufacturing You will have b udget management experience of >£1m TPM (Total Productive Maintenance) type experience with emphasis on PM (Progress Maintenance) and EM (Early Management) pillar leadership You will be fluent in English, both written and verbal. What will be your key responsibilities? Provide strategic and technical leadership to the Maintenance and Engineering teams. Provide innovative solutions resulting in sustained technical competitive advantage. The development and delivery of multi-year maintenance and engineering strategy to execute deliver critical KPI's for Supply Chain/Operations . Leading and facilitating the Progressive Maintenance Pillar . Management of all utilities, maintenance, & engineering at site Technical asset management from early equipment management, project management ( i.e. design, installation, vertical start-up), optimization, maintenance and retirement . The delivery of new product initiatives at the site to meet business needs . Ensure compliance with Mars standards related to technical job function of site Manage Maintenance costs to ensure the budgeting process is accurate and the department meets the business requirements . Deliver sites engineering projects to scope, timing, and costs . Develop and sustain maintenance predictive technology strategies to provide a proactive maintenance culture . Maintenance and Engineering team engagement and associate development . What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. A strong focus on learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus.
Job Description: Technical Manager is accountable for wholistic factory assets management to ensure all machine & equipment are in good condition & reliability to serve business priorities & purposes. This role is also managing technical team's associates to have appropriate knowledge , skills & capability to effectively perform all asset management activities together with strong awareness & mindset adhere to all Safety and Quality policies in the factory with solid succession pipeline for future. What are we looking for? You will have in depth e xperience in Technical or Production area within FMCG . You will demonstrate excellence in people leadership and project management, preferable in an engineering/supply environment You will have s trong line management experience and track record of performance and people development . You will have e xperience/knowledge of broader supply functions like Q&FS, IE, HSE, Manufacturing You will have b udget management experience of >£1m TPM (Total Productive Maintenance) type experience with emphasis on PM (Progress Maintenance) and EM (Early Management) pillar leadership You will be fluent in English, both written and verbal. What will be your key responsibilities? Provide strategic and technical leadership to the Maintenance and Engineering teams. Provide innovative solutions resulting in sustained technical competitive advantage. The development and delivery of multi-year maintenance and engineering strategy to execute deliver critical KPI's for Supply Chain/Operations . Leading and facilitating the Progressive Maintenance Pillar . Management of all utilities, maintenance, & engineering at site Technical asset management from early equipment management, project management ( i.e. design, installation, vertical start-up), optimization, maintenance and retirement . The delivery of new product initiatives at the site to meet business needs . Ensure compliance with Mars standards related to technical job function of site Manage Maintenance costs to ensure the budgeting process is accurate and the department meets the business requirements . Deliver sites engineering projects to scope, timing, and costs . Develop and sustain maintenance predictive technology strategies to provide a proactive maintenance culture . Maintenance and Engineering team engagement and associate development . What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. A strong focus on learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus.
Feb 05, 2026
Full time
Job Description: Technical Manager is accountable for wholistic factory assets management to ensure all machine & equipment are in good condition & reliability to serve business priorities & purposes. This role is also managing technical team's associates to have appropriate knowledge , skills & capability to effectively perform all asset management activities together with strong awareness & mindset adhere to all Safety and Quality policies in the factory with solid succession pipeline for future. What are we looking for? You will have in depth e xperience in Technical or Production area within FMCG . You will demonstrate excellence in people leadership and project management, preferable in an engineering/supply environment You will have s trong line management experience and track record of performance and people development . You will have e xperience/knowledge of broader supply functions like Q&FS, IE, HSE, Manufacturing You will have b udget management experience of >£1m TPM (Total Productive Maintenance) type experience with emphasis on PM (Progress Maintenance) and EM (Early Management) pillar leadership You will be fluent in English, both written and verbal. What will be your key responsibilities? Provide strategic and technical leadership to the Maintenance and Engineering teams. Provide innovative solutions resulting in sustained technical competitive advantage. The development and delivery of multi-year maintenance and engineering strategy to execute deliver critical KPI's for Supply Chain/Operations . Leading and facilitating the Progressive Maintenance Pillar . Management of all utilities, maintenance, & engineering at site Technical asset management from early equipment management, project management ( i.e. design, installation, vertical start-up), optimization, maintenance and retirement . The delivery of new product initiatives at the site to meet business needs . Ensure compliance with Mars standards related to technical job function of site Manage Maintenance costs to ensure the budgeting process is accurate and the department meets the business requirements . Deliver sites engineering projects to scope, timing, and costs . Develop and sustain maintenance predictive technology strategies to provide a proactive maintenance culture . Maintenance and Engineering team engagement and associate development . What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. A strong focus on learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus.
Job Description: Technical Manager is accountable for wholistic factory assets management to ensure all machine & equipment are in good condition & reliability to serve business priorities & purposes. This role is also managing technical team's associates to have appropriate knowledge , skills & capability to effectively perform all asset management activities together with strong awareness & mindset adhere to all Safety and Quality policies in the factory with solid succession pipeline for future. What are we looking for? You will have in depth e xperience in Technical or Production area within FMCG . You will demonstrate excellence in people leadership and project management, preferable in an engineering/supply environment You will have s trong line management experience and track record of performance and people development . You will have e xperience/knowledge of broader supply functions like Q&FS, IE, HSE, Manufacturing You will have b udget management experience of >£1m TPM (Total Productive Maintenance) type experience with emphasis on PM (Progress Maintenance) and EM (Early Management) pillar leadership You will be fluent in English, both written and verbal. What will be your key responsibilities? Provide strategic and technical leadership to the Maintenance and Engineering teams. Provide innovative solutions resulting in sustained technical competitive advantage. The development and delivery of multi-year maintenance and engineering strategy to execute deliver critical KPI's for Supply Chain/Operations . Leading and facilitating the Progressive Maintenance Pillar . Management of all utilities, maintenance, & engineering at site Technical asset management from early equipment management, project management ( i.e. design, installation, vertical start-up), optimization, maintenance and retirement . The delivery of new product initiatives at the site to meet business needs . Ensure compliance with Mars standards related to technical job function of site Manage Maintenance costs to ensure the budgeting process is accurate and the department meets the business requirements . Deliver sites engineering projects to scope, timing, and costs . Develop and sustain maintenance predictive technology strategies to provide a proactive maintenance culture . Maintenance and Engineering team engagement and associate development . What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. A strong focus on learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus.
Feb 05, 2026
Full time
Job Description: Technical Manager is accountable for wholistic factory assets management to ensure all machine & equipment are in good condition & reliability to serve business priorities & purposes. This role is also managing technical team's associates to have appropriate knowledge , skills & capability to effectively perform all asset management activities together with strong awareness & mindset adhere to all Safety and Quality policies in the factory with solid succession pipeline for future. What are we looking for? You will have in depth e xperience in Technical or Production area within FMCG . You will demonstrate excellence in people leadership and project management, preferable in an engineering/supply environment You will have s trong line management experience and track record of performance and people development . You will have e xperience/knowledge of broader supply functions like Q&FS, IE, HSE, Manufacturing You will have b udget management experience of >£1m TPM (Total Productive Maintenance) type experience with emphasis on PM (Progress Maintenance) and EM (Early Management) pillar leadership You will be fluent in English, both written and verbal. What will be your key responsibilities? Provide strategic and technical leadership to the Maintenance and Engineering teams. Provide innovative solutions resulting in sustained technical competitive advantage. The development and delivery of multi-year maintenance and engineering strategy to execute deliver critical KPI's for Supply Chain/Operations . Leading and facilitating the Progressive Maintenance Pillar . Management of all utilities, maintenance, & engineering at site Technical asset management from early equipment management, project management ( i.e. design, installation, vertical start-up), optimization, maintenance and retirement . The delivery of new product initiatives at the site to meet business needs . Ensure compliance with Mars standards related to technical job function of site Manage Maintenance costs to ensure the budgeting process is accurate and the department meets the business requirements . Deliver sites engineering projects to scope, timing, and costs . Develop and sustain maintenance predictive technology strategies to provide a proactive maintenance culture . Maintenance and Engineering team engagement and associate development . What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. A strong focus on learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus.
Machine Learning Engineering Manager Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. At Deliveroo, machine learning plays a critical role in how we run a fast, reliable and efficient delivery network at scale. We're looking for a Machine Learning Engineering Manager to lead machine learning teams focused on Delivery, spanning handover logistics and consumer signals. This role sits at the intersection of logistics, optimisation and real-time decision making, with direct impact on food quality, delivery speed and customer trust. What You'll Be Doing You'll lead cross-functional teams of Machine Learning Engineers and Data Scientists, owning the algorithmic systems that power key delivery experiences. In this role, you will: Lead and develop teams working on handover logistics and consumer signals, supporting growth across a mix of MLE and DS roles Build and scale models that optimise rider dispatch based on food preparation times, ensuring orders arrive hot and fresh Own machine learning systems that communicate network status to consumers, including delivery time estimates and restaurant availability Take responsibility for core delivery performance metrics, such as surge requirements, marketplace balance and restaurant ranking adjustments Translate complex, real-world delivery problems into production machine learning and optimisation systems Partner closely with Product Managers, Software Engineers and Operations teams from problem framing through to deployment and iteration Balance experimentation, system reliability and long-term technical quality in a fast moving, high impact environment You'll manage around 9 individual contributors across two closely related problem spaces, remaining close to the technical work while operating as a people and delivery leader. What You'll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Experience line managing Machine Learning Engineers and Data Scientists, and supporting their technical and career development Hands on experience building and deploying machine learning or optimisation systems into production Strong background in logistics, optimisation, supply chain or network-based problem spaces Experience working in cross-functional product teams with engineers, product managers and operational stakeholders Comfort operating in fast changing environments with noisy data, real trade-offs and tight feedback loops A pragmatic, impact focused mindset, prioritising outcomes over theoretical perfection A classic machine learning background, with focus on logistics or consumer facing systems Why Join Us? At Deliveroo, you'll work on machine learning systems that operate in real time, at global scale, and directly shape how millions of orders move through our network every day. Working here, you can expect: Ownership of business critical machine learning systems with clear, measurable impact A strong and supportive data science and machine learning community Opportunities to grow as a technical leader and people manager A strong focus on wellbeing and belonging, with benefits that vary by country Diversity, Equity and Inclusion At Deliveroo, we believe great workplaces reflect the world around us. We welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion or belief. If you require adjustments at any stage of the application process, please let us know. We're committed to ensuring everyone has an equitable opportunity to succeed. Ready to lead machine learning systems that keep Deliveroo moving? Apply today. A competitive and comprehensive compensation and benefits package Compensation We aim to pay every employee competitively for the role they are performing in their respective location Depending on role and location, some employees may be eligible for an annual cash bonus, sign on bonus or relocation support Up to 5% matched pension contributions Equity Some roles may be eligible for share awards, giving them ownership in Deliveroo and a share in our success Food Free Deliveroo Plus: free delivery and access to special offers Team lunches from the best local restaurants Time away 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo One day of paid leave per year to volunteer with a registered charity Funded single cover healthcare on our core plan, with the option to add family members at own cost On site gym (HQ), discounted external gym membership Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments Life assurance Work Life Maternity, paternity and maternity and shared parental leave, eligible from day one of employment Excellent kit to enable working from home and a parent friendly working culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high quality training and content Regular Employee Resource Group (ERG) led social events - examples include dinners, dance lessons and in office yoga sessions
Feb 04, 2026
Full time
Machine Learning Engineering Manager Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. At Deliveroo, machine learning plays a critical role in how we run a fast, reliable and efficient delivery network at scale. We're looking for a Machine Learning Engineering Manager to lead machine learning teams focused on Delivery, spanning handover logistics and consumer signals. This role sits at the intersection of logistics, optimisation and real-time decision making, with direct impact on food quality, delivery speed and customer trust. What You'll Be Doing You'll lead cross-functional teams of Machine Learning Engineers and Data Scientists, owning the algorithmic systems that power key delivery experiences. In this role, you will: Lead and develop teams working on handover logistics and consumer signals, supporting growth across a mix of MLE and DS roles Build and scale models that optimise rider dispatch based on food preparation times, ensuring orders arrive hot and fresh Own machine learning systems that communicate network status to consumers, including delivery time estimates and restaurant availability Take responsibility for core delivery performance metrics, such as surge requirements, marketplace balance and restaurant ranking adjustments Translate complex, real-world delivery problems into production machine learning and optimisation systems Partner closely with Product Managers, Software Engineers and Operations teams from problem framing through to deployment and iteration Balance experimentation, system reliability and long-term technical quality in a fast moving, high impact environment You'll manage around 9 individual contributors across two closely related problem spaces, remaining close to the technical work while operating as a people and delivery leader. What You'll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Experience line managing Machine Learning Engineers and Data Scientists, and supporting their technical and career development Hands on experience building and deploying machine learning or optimisation systems into production Strong background in logistics, optimisation, supply chain or network-based problem spaces Experience working in cross-functional product teams with engineers, product managers and operational stakeholders Comfort operating in fast changing environments with noisy data, real trade-offs and tight feedback loops A pragmatic, impact focused mindset, prioritising outcomes over theoretical perfection A classic machine learning background, with focus on logistics or consumer facing systems Why Join Us? At Deliveroo, you'll work on machine learning systems that operate in real time, at global scale, and directly shape how millions of orders move through our network every day. Working here, you can expect: Ownership of business critical machine learning systems with clear, measurable impact A strong and supportive data science and machine learning community Opportunities to grow as a technical leader and people manager A strong focus on wellbeing and belonging, with benefits that vary by country Diversity, Equity and Inclusion At Deliveroo, we believe great workplaces reflect the world around us. We welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion or belief. If you require adjustments at any stage of the application process, please let us know. We're committed to ensuring everyone has an equitable opportunity to succeed. Ready to lead machine learning systems that keep Deliveroo moving? Apply today. A competitive and comprehensive compensation and benefits package Compensation We aim to pay every employee competitively for the role they are performing in their respective location Depending on role and location, some employees may be eligible for an annual cash bonus, sign on bonus or relocation support Up to 5% matched pension contributions Equity Some roles may be eligible for share awards, giving them ownership in Deliveroo and a share in our success Food Free Deliveroo Plus: free delivery and access to special offers Team lunches from the best local restaurants Time away 25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo One day of paid leave per year to volunteer with a registered charity Funded single cover healthcare on our core plan, with the option to add family members at own cost On site gym (HQ), discounted external gym membership Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments Life assurance Work Life Maternity, paternity and maternity and shared parental leave, eligible from day one of employment Excellent kit to enable working from home and a parent friendly working culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high quality training and content Regular Employee Resource Group (ERG) led social events - examples include dinners, dance lessons and in office yoga sessions
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Delivery Lead- Senior Manager - English (ANA020316) Delivery Lead- Senior Manager - English - ANA020316 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Inviting applications for the role of Senior Manager, Delivery Lead! Responsibilities 1. Use Case Development & Solution Design Identify, prioritize, and develop high-value analytics use cases across retail functions such as demand forecasting, price & promotion optimization, inventory planning, customer segmentation, and store performance analytics. Translate business needs into analytical problem statements, selecting the right methodologies and data sources. Build business cases, quantify ROI, and work with stakeholders to ensure adoption. 2. Advanced Modeling & Analytical Execution Develop, validate, and deploy machine learning/statistical models (e.g., time-series forecasting, recommendation systems, propensity models, optimization algorithms). Apply financial modeling and accounting understanding to design solutions that tie directly to revenue, margin, cost, and profitability metrics. Conduct exploratory data analysis, feature engineering, and model performance tracking. 3. Data Architecture & Engineering Collaboration Partner with data engineering teams to define data requirements, improve data quality, and optimize pipelines for scalable model deployment. Work within cloud environments (AWS, GCP, Azure) to operationalize models and automate analytics workflows. 4. Business Partnership & Communication Present insights and model outcomes to senior executives in Finance, Operations, and Commercial teams. Build strong relationships with business units to enable data-driven decision-making. Conduct workshops and analytics roadmapping sessions with functional leaders. Implement best practices in model governance, version control, monitoring, and documentation. Lead continuous improvement initiatives to refine models, data processes, and solution performance. Delivery Leadership & Program Management Oversee the delivery of multiple concurrent analytics and data science projects from scoping to deployment. Manage timelines, budgets, quality standards, and stakeholder expectations for all analytics deliverables. Establish governance frameworks, delivery methodologies, and best practices for analytics program execution. Technical & Analytical Oversight Guide data scientists, analysts, and engineers in developing advanced analytical models (e.g., predictive modeling, optimization, NLP, computer vision). Ensure quality, scalability, and interpretability of analytics outputs. Champion the use of modern data science tools, AI/ML platforms, and cloud-based analytics ecosystems (Azure, AWS, or GCP). Lead, mentor, and inspire cross-functional analytics teams to deliver excellence. Foster a culture of innovation, collaboration, and continuous learning. Support hiring, training, and career development of analytics talent. Strategic Impact & Innovation Identify and prioritize high-value use cases across the CGR lifecycle - such as demand forecasting, trade optimization, portfolio mix analysis, consumer segmentation, and digital shelf analytics. Drive adoption of advanced analytics solutions across the organization to unlock revenue growth and operational efficiency. Stay abreast of emerging technologies and trends in AI, GenAI, and data science relevant to the CGR domain. Qualifications Minimum Qualifications Master's or PhD in Data Science, Statistics, Computer Science, Economics, Finance, Engineering, or related field. Preferred Qualifications / Skills Master's degree in Data Science, Statistics Relevant years of experience in data science, advanced analytics, or machine learning roles. Demonstrated experience developing retail analytics use cases (e.g., demand forecasting, price optimization, customer analytics, churn prediction, assortment planning). Strong knowledge of finance, accounting fundamentals, and P&L drivers. Expertise in Python or R, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost). Experience working with cloud platforms (AWS/GCP/Azure) and modern data stacks. Strong understanding of data modeling, version control (Git), and model deployment practices. Exceptional communication skills, with the ability to translate complex analytics into clear business recommendations. Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit, paying to apply, or purchasing equipment or training.
Feb 03, 2026
Full time
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Delivery Lead- Senior Manager - English (ANA020316) Delivery Lead- Senior Manager - English - ANA020316 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Inviting applications for the role of Senior Manager, Delivery Lead! Responsibilities 1. Use Case Development & Solution Design Identify, prioritize, and develop high-value analytics use cases across retail functions such as demand forecasting, price & promotion optimization, inventory planning, customer segmentation, and store performance analytics. Translate business needs into analytical problem statements, selecting the right methodologies and data sources. Build business cases, quantify ROI, and work with stakeholders to ensure adoption. 2. Advanced Modeling & Analytical Execution Develop, validate, and deploy machine learning/statistical models (e.g., time-series forecasting, recommendation systems, propensity models, optimization algorithms). Apply financial modeling and accounting understanding to design solutions that tie directly to revenue, margin, cost, and profitability metrics. Conduct exploratory data analysis, feature engineering, and model performance tracking. 3. Data Architecture & Engineering Collaboration Partner with data engineering teams to define data requirements, improve data quality, and optimize pipelines for scalable model deployment. Work within cloud environments (AWS, GCP, Azure) to operationalize models and automate analytics workflows. 4. Business Partnership & Communication Present insights and model outcomes to senior executives in Finance, Operations, and Commercial teams. Build strong relationships with business units to enable data-driven decision-making. Conduct workshops and analytics roadmapping sessions with functional leaders. Implement best practices in model governance, version control, monitoring, and documentation. Lead continuous improvement initiatives to refine models, data processes, and solution performance. Delivery Leadership & Program Management Oversee the delivery of multiple concurrent analytics and data science projects from scoping to deployment. Manage timelines, budgets, quality standards, and stakeholder expectations for all analytics deliverables. Establish governance frameworks, delivery methodologies, and best practices for analytics program execution. Technical & Analytical Oversight Guide data scientists, analysts, and engineers in developing advanced analytical models (e.g., predictive modeling, optimization, NLP, computer vision). Ensure quality, scalability, and interpretability of analytics outputs. Champion the use of modern data science tools, AI/ML platforms, and cloud-based analytics ecosystems (Azure, AWS, or GCP). Lead, mentor, and inspire cross-functional analytics teams to deliver excellence. Foster a culture of innovation, collaboration, and continuous learning. Support hiring, training, and career development of analytics talent. Strategic Impact & Innovation Identify and prioritize high-value use cases across the CGR lifecycle - such as demand forecasting, trade optimization, portfolio mix analysis, consumer segmentation, and digital shelf analytics. Drive adoption of advanced analytics solutions across the organization to unlock revenue growth and operational efficiency. Stay abreast of emerging technologies and trends in AI, GenAI, and data science relevant to the CGR domain. Qualifications Minimum Qualifications Master's or PhD in Data Science, Statistics, Computer Science, Economics, Finance, Engineering, or related field. Preferred Qualifications / Skills Master's degree in Data Science, Statistics Relevant years of experience in data science, advanced analytics, or machine learning roles. Demonstrated experience developing retail analytics use cases (e.g., demand forecasting, price optimization, customer analytics, churn prediction, assortment planning). Strong knowledge of finance, accounting fundamentals, and P&L drivers. Expertise in Python or R, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost). Experience working with cloud platforms (AWS/GCP/Azure) and modern data stacks. Strong understanding of data modeling, version control (Git), and model deployment practices. Exceptional communication skills, with the ability to translate complex analytics into clear business recommendations. Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit, paying to apply, or purchasing equipment or training.
Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Feb 03, 2026
Full time
Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details
Feb 03, 2026
Full time
Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details
The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions. We have raised about $25M in VC funding from top tier funds including Creandum and Plural, and operate at significant scale - analysing millions of daily images and videos. But we are just at the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the most effective AI solutions for their specific needs. You will apply your technical and analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you will: Collaborate with customers to thoroughly understand their workflows, then design and build Virtual Agents that automate their processes. Contribute to the development of our Virtual Agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value. We are looking for someone who is as excited about Unitary's mission as we are, who wants to have a large impact at an early-stage startup, and be a key part of defining Unitary's future as one of our early employees. We need versatile people who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company. For this particular role, we need a proactive Machine Learning Engineer who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills are essential, as you'll lead technical deliveries and bring others along on the journey. You embrace a product mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if you: Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes Have an understanding of (or want to learn) how software is deployed through Kubernetes, and with the capability to deploy some infrastructure elements independently Can demonstrate problem solving and project management skills in order to analyse workflows and design automated solutions Thrive in a collaborative environment where group output and team achievements weigh heavier than individual input Can travel to our company-wide offsites three times per year It would be even better, but not essential, if you have: Experience working in a fully remote, international team Previous startup experience A background in building and operating agentic AI systems Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform Experience with Large Language Models (LLMs) and a keen interest in staying current with the latest AI technology advancements The team Unitary is a remote-first team of c. 20 people spread across Europe and North America who are fiercely passionate about making the internet a safer place, and deeply motivated to become a force for good. We have an ambition to create a company filled with happy, kind and collaborative people who achieve extraordinary things together. Our culture is built around the power of trust, transparency and self-leadership. Working at Unitary We are committed to creating a positive and inclusive culture built on genuine interest for each other's well-being. We offer progressive and market-leading benefits, including: Flexible hours and location Competitive salary and equity package Occupational pension Generous paid parental leave Generous paid sick leave Annual budget for your professional development and growth Annual budget for your individual health and wellness Three team offsites to London or other exciting destinations in Europe
Feb 02, 2026
Full time
The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions. We have raised about $25M in VC funding from top tier funds including Creandum and Plural, and operate at significant scale - analysing millions of daily images and videos. But we are just at the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the most effective AI solutions for their specific needs. You will apply your technical and analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you will: Collaborate with customers to thoroughly understand their workflows, then design and build Virtual Agents that automate their processes. Contribute to the development of our Virtual Agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value. We are looking for someone who is as excited about Unitary's mission as we are, who wants to have a large impact at an early-stage startup, and be a key part of defining Unitary's future as one of our early employees. We need versatile people who are happy to get stuck into whatever needs doing, and are ready to learn and grow with the company. For this particular role, we need a proactive Machine Learning Engineer who is comfortable engaging with customers and exploring and presenting new ideas. Strong communication skills are essential, as you'll lead technical deliveries and bring others along on the journey. You embrace a product mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if you: Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes Have an understanding of (or want to learn) how software is deployed through Kubernetes, and with the capability to deploy some infrastructure elements independently Can demonstrate problem solving and project management skills in order to analyse workflows and design automated solutions Thrive in a collaborative environment where group output and team achievements weigh heavier than individual input Can travel to our company-wide offsites three times per year It would be even better, but not essential, if you have: Experience working in a fully remote, international team Previous startup experience A background in building and operating agentic AI systems Experience with MLOps practices and tools, and monitoring machine learning systems in production Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD Proficiency with SQL and NoSQL databases Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform Experience with Large Language Models (LLMs) and a keen interest in staying current with the latest AI technology advancements The team Unitary is a remote-first team of c. 20 people spread across Europe and North America who are fiercely passionate about making the internet a safer place, and deeply motivated to become a force for good. We have an ambition to create a company filled with happy, kind and collaborative people who achieve extraordinary things together. Our culture is built around the power of trust, transparency and self-leadership. Working at Unitary We are committed to creating a positive and inclusive culture built on genuine interest for each other's well-being. We offer progressive and market-leading benefits, including: Flexible hours and location Competitive salary and equity package Occupational pension Generous paid parental leave Generous paid sick leave Annual budget for your professional development and growth Annual budget for your individual health and wellness Three team offsites to London or other exciting destinations in Europe
Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data & AI consulting and lead from the front as businesses navigate the next wave of intelligent transformation. If you're ready to bring bold ideas to life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront of data & AI innovation during a period of exciting expansion for GlobalLogic. What You'll Bring We're looking for a candidate who blends deep technical expertise with strong commercial instincts and a passion for AI-driven transformation. You should have: 5+ years of consulting and/or delivery experience in data & AI, ideally within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to whitepapers, mentoring, and publishing technical insights. A global mindset, with experience working across geographies including India, Eastern Europe, and North America. Job responsibilities Design, refine, and package cutting-edge data & AI offerings for GlobalLogic's customers - primarily focused on AI & ML engineering & operations Lead technical pre-sales activities including workshops, PoCs, proposals, RFIs/RFPs, SoWs, and cost modelling. Provide strategic and technical guidance to internal teams and clients. Collaborate with adjacent GTM teams to build holistic, market-leading propositions. Stay current with evolving AI/ML technologies. Cultivate strong relationships with technology partners to co-develop joint solutions. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Apply Now First Name Last Name Email Phone Gender The gender information on this form helps us understand the makeup of our applicant pool in this key area, and to continuously improve our efforts to make our workforce more inclusive. Country of Residence City How did you hear about this job? Upload Resume / Share LinkedIn Profile Drag and drop your file here or click here to upload Only .docx, .rtf, .pdf formats allowed to a max size of 5 MB. Alternately you can include your Linkedin profile I want to be considered for future open positions within the GlobalLogic group. Your data will be kept in GlobalLogic's database for 3 years. You can withdraw your consent at any time by contacting . You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice .
Feb 02, 2026
Full time
Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data & AI consulting and lead from the front as businesses navigate the next wave of intelligent transformation. If you're ready to bring bold ideas to life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront of data & AI innovation during a period of exciting expansion for GlobalLogic. What You'll Bring We're looking for a candidate who blends deep technical expertise with strong commercial instincts and a passion for AI-driven transformation. You should have: 5+ years of consulting and/or delivery experience in data & AI, ideally within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to whitepapers, mentoring, and publishing technical insights. A global mindset, with experience working across geographies including India, Eastern Europe, and North America. Job responsibilities Design, refine, and package cutting-edge data & AI offerings for GlobalLogic's customers - primarily focused on AI & ML engineering & operations Lead technical pre-sales activities including workshops, PoCs, proposals, RFIs/RFPs, SoWs, and cost modelling. Provide strategic and technical guidance to internal teams and clients. Collaborate with adjacent GTM teams to build holistic, market-leading propositions. Stay current with evolving AI/ML technologies. Cultivate strong relationships with technology partners to co-develop joint solutions. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Apply Now First Name Last Name Email Phone Gender The gender information on this form helps us understand the makeup of our applicant pool in this key area, and to continuously improve our efforts to make our workforce more inclusive. Country of Residence City How did you hear about this job? Upload Resume / Share LinkedIn Profile Drag and drop your file here or click here to upload Only .docx, .rtf, .pdf formats allowed to a max size of 5 MB. Alternately you can include your Linkedin profile I want to be considered for future open positions within the GlobalLogic group. Your data will be kept in GlobalLogic's database for 3 years. You can withdraw your consent at any time by contacting . You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice .
Head of Data Science Salary: £115K - £125K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practices Credibility to lead long tenured individual contributors, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Feb 02, 2026
Full time
Head of Data Science Salary: £115K - £125K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practices Credibility to lead long tenured individual contributors, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Head of Data Science Salary: £110K - £120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science
Feb 02, 2026
Full time
Head of Data Science Salary: £110K - £120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. This is a new, senior-level position created due to rapid growth and increased demand. The ideal candidate will be an established technology leader with a strong background in AI and machine learning, particularly within the financial services sector. You will balance technical expertise with commercial and strategic leadership, driving the development and delivery of high-caliber AI solutions for our clients, which include banks, asset managers, insurers, and law firms. Your role will be to lead and mentor a team of world-class data scientists and machine learning engineers, and you will work with the business unit leadership to develop a differentiated technical vision for the business unit. What you'll do: Technical Leadership and Delivery Provide hands-on technical guidance for complex, high-priority projects (40% of your time). Lead the development and delivery of advanced AI solutions and ensure technical excellence across the business unit. Advise on solution architecture, advanced modelling and engineering best practices. Identify and implement new tools and processes to enhance delivery quality. Team Leadership and Strategy Define and champion the technical vision for our professional and financial services clients. Lead recruiting, team structure, and professional development for technical staff. Collaborate with the Business Unit Director on commercial strategy and project resourcing. Business Development Act as a technical authority in client meetings to secure and expand market opportunities. Create and share technical thought leadership through conferences, articles, and other media. Identify new market opportunities and technologies. Who we're looking for An experienced technology leader with a track record of successfully leading AI/ML strategy and project delivery. Strong understanding of MLOps, with experience deploying commercially valuable AI applications in financial services. Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals. Knowledge of the financial services landscape, including commercial drivers and the ability to articulate how AI can accelerate business outcomes. Strong communication skills, with the ability to explain complex technical information to both internal and external stakeholders. A proven interest in and ability to mentor and develop team members. A pragmatic and outcome-focused mindset, balancing big-picture strategy with real-world execution. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Feb 02, 2026
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. This is a new, senior-level position created due to rapid growth and increased demand. The ideal candidate will be an established technology leader with a strong background in AI and machine learning, particularly within the financial services sector. You will balance technical expertise with commercial and strategic leadership, driving the development and delivery of high-caliber AI solutions for our clients, which include banks, asset managers, insurers, and law firms. Your role will be to lead and mentor a team of world-class data scientists and machine learning engineers, and you will work with the business unit leadership to develop a differentiated technical vision for the business unit. What you'll do: Technical Leadership and Delivery Provide hands-on technical guidance for complex, high-priority projects (40% of your time). Lead the development and delivery of advanced AI solutions and ensure technical excellence across the business unit. Advise on solution architecture, advanced modelling and engineering best practices. Identify and implement new tools and processes to enhance delivery quality. Team Leadership and Strategy Define and champion the technical vision for our professional and financial services clients. Lead recruiting, team structure, and professional development for technical staff. Collaborate with the Business Unit Director on commercial strategy and project resourcing. Business Development Act as a technical authority in client meetings to secure and expand market opportunities. Create and share technical thought leadership through conferences, articles, and other media. Identify new market opportunities and technologies. Who we're looking for An experienced technology leader with a track record of successfully leading AI/ML strategy and project delivery. Strong understanding of MLOps, with experience deploying commercially valuable AI applications in financial services. Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals. Knowledge of the financial services landscape, including commercial drivers and the ability to articulate how AI can accelerate business outcomes. Strong communication skills, with the ability to explain complex technical information to both internal and external stakeholders. A proven interest in and ability to mentor and develop team members. A pragmatic and outcome-focused mindset, balancing big-picture strategy with real-world execution. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're building a new function at Intercom: AI Product Management. For over a decade, Intercom has invested in in house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we're expanding this team with product managers who will define the future of Intercom's AI platform and AI agent. As a Senior AI Product Manager, you'll shape the vision, strategy, and roadmap for core AI systems that power Fin and Intercom's AI features. You'll work at the intersection of advanced AI research, cutting edge product development, and real customer problems, helping us build world class AI products that deliver meaningful business impact. This is a high ownership role for a technical, customer obsessed PM who thrives in fast moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences. What will I be doing? Lead a major part of our AI product surface. You'll own an important area of Intercom's AI platform or AI agent and be accountable for its vision, strategy, and impact. Deeply understand customers, the business, and the technology. You'll learn the space inside out: what customers need, where the business is going, and how our AI systems work. You'll use this understanding to make high quality decisions and build a compelling roadmap. Work side by side with a world class AI team. You'll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you'll explore new ideas, assess feasibility, evaluate trade offs, and turn advanced AI capabilities into high value product experiences. Ship ambitious, high quality AI product. You'll take AI concepts from early exploration through to production launches. You'll run fast experiments, define success metrics, evaluate performance, and iterate until the experiences are both effective and delightful. Collaborate across the company. You'll work closely with our core product org to integrate AI across the Intercom platform, and partner with GTM, marketing, support, and operations to drive adoption and customer impact. Lead through clarity, ownership, and momentum. You'll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes. What skills do I need? Strong AI and technical fluency. You've built or worked deeply with AI/ML products, ideally including generative AI. You can discuss model behaviour, evaluation, prompts, architectures, constraints, and trade offs with technical partners. You're comfortable working autonomously in complex technical spaces. Excellent product judgment. You balance customer needs, business goals, and technical realities. You know when to push for ambitious ideas and when to iterate quickly. You can turn new or ambiguous AI capabilities into clear, valuable product experiences. Sharp problem framing and customer insight. You can independently understand and articulate complex problems using research, data, and direct customer conversations. You translate complexity into crisp problem statements for your team. Ability to build world class product. You collaborate deeply with engineering and design to ship high quality software. You know how to test, measure, and iterate on AI systems and user facing AI features. You care deeply about safety, reliability, and delivering customer value. Strong communication and leadership. You influence widely, bring structure to ambiguity, and create momentum. You communicate clearly and frequently, keeping partners aligned and engaged. You take ownership and raise the bar for the team around you. Why you'll love it here You'll work with an experienced AI team that has been shipping AI long before it was mainstream. You'll have real autonomy, real impact, and real responsibility. You'll help build the next generation of customer service through the power of AI. You'll help shape the future of AI PM craft at Intercom. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Feb 02, 2026
Full time
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're building a new function at Intercom: AI Product Management. For over a decade, Intercom has invested in in house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we're expanding this team with product managers who will define the future of Intercom's AI platform and AI agent. As a Senior AI Product Manager, you'll shape the vision, strategy, and roadmap for core AI systems that power Fin and Intercom's AI features. You'll work at the intersection of advanced AI research, cutting edge product development, and real customer problems, helping us build world class AI products that deliver meaningful business impact. This is a high ownership role for a technical, customer obsessed PM who thrives in fast moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences. What will I be doing? Lead a major part of our AI product surface. You'll own an important area of Intercom's AI platform or AI agent and be accountable for its vision, strategy, and impact. Deeply understand customers, the business, and the technology. You'll learn the space inside out: what customers need, where the business is going, and how our AI systems work. You'll use this understanding to make high quality decisions and build a compelling roadmap. Work side by side with a world class AI team. You'll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you'll explore new ideas, assess feasibility, evaluate trade offs, and turn advanced AI capabilities into high value product experiences. Ship ambitious, high quality AI product. You'll take AI concepts from early exploration through to production launches. You'll run fast experiments, define success metrics, evaluate performance, and iterate until the experiences are both effective and delightful. Collaborate across the company. You'll work closely with our core product org to integrate AI across the Intercom platform, and partner with GTM, marketing, support, and operations to drive adoption and customer impact. Lead through clarity, ownership, and momentum. You'll bring teams together, communicate decisions clearly, create alignment, and consistently push toward impactful outcomes. What skills do I need? Strong AI and technical fluency. You've built or worked deeply with AI/ML products, ideally including generative AI. You can discuss model behaviour, evaluation, prompts, architectures, constraints, and trade offs with technical partners. You're comfortable working autonomously in complex technical spaces. Excellent product judgment. You balance customer needs, business goals, and technical realities. You know when to push for ambitious ideas and when to iterate quickly. You can turn new or ambiguous AI capabilities into clear, valuable product experiences. Sharp problem framing and customer insight. You can independently understand and articulate complex problems using research, data, and direct customer conversations. You translate complexity into crisp problem statements for your team. Ability to build world class product. You collaborate deeply with engineering and design to ship high quality software. You know how to test, measure, and iterate on AI systems and user facing AI features. You care deeply about safety, reliability, and delivering customer value. Strong communication and leadership. You influence widely, bring structure to ambiguity, and create momentum. You communicate clearly and frequently, keeping partners aligned and engaged. You take ownership and raise the bar for the team around you. Why you'll love it here You'll work with an experienced AI team that has been shipping AI long before it was mainstream. You'll have real autonomy, real impact, and real responsibility. You'll help build the next generation of customer service through the power of AI. You'll help shape the future of AI PM craft at Intercom. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
The Ellison Institute of Technology (EIT) Oxford's purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems. EIT Oxford will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability. Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields. Key Responsibilities Contribute to research projects from initial concept through to deployment in collaboration with applied and operations teams. Develop and train large-scale models, including those integrating multiple data types and complex datasets. Work with teams of scientists, clinicians, and engineers to ensure research objectives meet practical application requirements. Communicate research results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline (eg. Physics, mathematics, and computational biology). Experience in designing and implementing large-scale machine learning systems, such as, aspects of model training, finetuning, data management, and distributed computing. A record of impactful research as demonstrated by at least one publication in AI/ML conferences, patents, or scientific journals. Excellent communication skills and the willingness to work with diverse cross-functional teams while solving ambitious and complex problems in an efficient manner. Salary and Benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Why work for EIT At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!
Feb 02, 2026
Full time
The Ellison Institute of Technology (EIT) Oxford's purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems. EIT Oxford will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability. Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields. Key Responsibilities Contribute to research projects from initial concept through to deployment in collaboration with applied and operations teams. Develop and train large-scale models, including those integrating multiple data types and complex datasets. Work with teams of scientists, clinicians, and engineers to ensure research objectives meet practical application requirements. Communicate research results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline (eg. Physics, mathematics, and computational biology). Experience in designing and implementing large-scale machine learning systems, such as, aspects of model training, finetuning, data management, and distributed computing. A record of impactful research as demonstrated by at least one publication in AI/ML conferences, patents, or scientific journals. Excellent communication skills and the willingness to work with diverse cross-functional teams while solving ambitious and complex problems in an efficient manner. Salary and Benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Why work for EIT At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!
A fantastic opportunity for a proven Director level candidate from the packaging automation market to work for a company going through its fastest growth. This role may suit a first-time Managing Director or CEO stepping up into full enterprise leadership, supported by experienced shareholders. BASIC SALARY: 120,000€ - 140,000€ BENEFITS: Company Bonus Equity Pension Health Scheme 25 Days Holiday & Bank Holidays, Laptop & Mobile Phone, LOCATION: Ireland (relocation package available) COMMUTABLE LOCATIONS: Dublin, Cork, Limerick, Wexford, Belfast, Waterford, Londonderry JOB DESCRIPTION: Managing Director, Sales Director, Operations Director - packaging automation, capital equipment We are now looking for a talented Managing Director with the attitude, leadership & competency required to lead this company through its fastest growth. You will be responsible for shaping & executing the company's strategic vision, leading operational & commercial activities & fostering a culture of innovation & continuous improvement. KEY RESPONSIBILITIES: Managing Director, Sales Director, Operations Director - packaging automation, capital equipment Strategic leadership - developing & executing a clear strategic plan aligned with company goals & vision Developing the companies USP & competitive advantage Ultimately accountable for enterprise value creation, aligning strategy, people, capital & execution to build a scalable, global automation platform. Implementing KPI's, OKR's & using data to make sure the company improves & meets targets Drive growth by executing the strategic plan - identifying new markets & business opportunities Overseeing the implementation of a culture of continuous improvement & "Empowered Accountability" to empower teams to improve financial margins, improve safety & find ways to improve processes & performance. Operational excellence - oversee & improve operations to make sure highest standards are met & all URSs are delivered, delivering the best technical solutions on time & budget. Innovation & technology: making sure the company stays at the forefront of innovation in robotics, automation & AI / software to improve margins & growth potential Lead discussion with key customers, making sure that the company remains customer focused at all times and sales targets are achieved Supervising Sales & Marketing ensuring that the brand continues to be built & supporting the consultancy & problem solving sales led process Maintaining strong relationships with shareholders, suppliers, customers & industry partners Lead & integrate strategic acquisitions as part of a Buy & Build growth strategy, supported by shareholders Lead by example, fostering a positive, learning driven & continuous improvement culture PERSON SPECIFICATION: Managing Director, Sales Director, Operations Director - packaging automation, capital equipment As our Managing Director, you will: Ideally be qualified in Mechanical Engineering Have experience in packaging automation, robotics, or machine building Have a proven record of leadership at Director level Possess strong P&L ownership & board exposure Be a strategic thinker with strong execution discipline Be an ambitious, resilient, people-focused leader with high energy & ownership mindset Full driving license Eligible to live and work in Ireland THE COMPANY: We are Ireland's leading robotic packaging & automation provider offering cutting edge solutions to the pharmaceutical, life sciences, biotech, medical devices & food industries. From our large R&D manufacturing hub in Southern Ireland, we design, build & support high-performance systems that solve real-world production challenges and are trusted by Global brands. Our focus is to provide best in-class solutions in filling, wrapping, assembling and packaging. PROSPECTS: This role offers significant opportunity for an ambitious, experienced professional with a desire to develop their career with a growing and forward-thinking company and group with a track record and plans for strong growth. This is not just a senior management role, it is a career defining role that is supported by an experienced investor. The successful candidate will have the opportunity to co-own and scale a high-potential automation business through organic growth and targeted M&A, supported by an experienced shareholder with a proven value creation playbook. It is highly likely you will have worked in any of the following roles, Managing Director, Sales Director, Operations Director, Manufacturing Director, Site Director, Operations Director - packaging automation, capital equipment, robotics, machine building INTERESTED? Please click apply. You will receive an acknowledgement of your application. Wallace Hind Selection, alongside our client embrace diversity, champion equality, and foster inclusion to create a work environment where everyone belongs and thrives. Please Note: Wallace Hind Selection have been chosen as the retained recruitment partner of our client and therefore any direct applications to our client from candidates or agencies will be forwarded on to us direct. REF: IP18379, Wallace Hind Selection
Feb 02, 2026
Full time
A fantastic opportunity for a proven Director level candidate from the packaging automation market to work for a company going through its fastest growth. This role may suit a first-time Managing Director or CEO stepping up into full enterprise leadership, supported by experienced shareholders. BASIC SALARY: 120,000€ - 140,000€ BENEFITS: Company Bonus Equity Pension Health Scheme 25 Days Holiday & Bank Holidays, Laptop & Mobile Phone, LOCATION: Ireland (relocation package available) COMMUTABLE LOCATIONS: Dublin, Cork, Limerick, Wexford, Belfast, Waterford, Londonderry JOB DESCRIPTION: Managing Director, Sales Director, Operations Director - packaging automation, capital equipment We are now looking for a talented Managing Director with the attitude, leadership & competency required to lead this company through its fastest growth. You will be responsible for shaping & executing the company's strategic vision, leading operational & commercial activities & fostering a culture of innovation & continuous improvement. KEY RESPONSIBILITIES: Managing Director, Sales Director, Operations Director - packaging automation, capital equipment Strategic leadership - developing & executing a clear strategic plan aligned with company goals & vision Developing the companies USP & competitive advantage Ultimately accountable for enterprise value creation, aligning strategy, people, capital & execution to build a scalable, global automation platform. Implementing KPI's, OKR's & using data to make sure the company improves & meets targets Drive growth by executing the strategic plan - identifying new markets & business opportunities Overseeing the implementation of a culture of continuous improvement & "Empowered Accountability" to empower teams to improve financial margins, improve safety & find ways to improve processes & performance. Operational excellence - oversee & improve operations to make sure highest standards are met & all URSs are delivered, delivering the best technical solutions on time & budget. Innovation & technology: making sure the company stays at the forefront of innovation in robotics, automation & AI / software to improve margins & growth potential Lead discussion with key customers, making sure that the company remains customer focused at all times and sales targets are achieved Supervising Sales & Marketing ensuring that the brand continues to be built & supporting the consultancy & problem solving sales led process Maintaining strong relationships with shareholders, suppliers, customers & industry partners Lead & integrate strategic acquisitions as part of a Buy & Build growth strategy, supported by shareholders Lead by example, fostering a positive, learning driven & continuous improvement culture PERSON SPECIFICATION: Managing Director, Sales Director, Operations Director - packaging automation, capital equipment As our Managing Director, you will: Ideally be qualified in Mechanical Engineering Have experience in packaging automation, robotics, or machine building Have a proven record of leadership at Director level Possess strong P&L ownership & board exposure Be a strategic thinker with strong execution discipline Be an ambitious, resilient, people-focused leader with high energy & ownership mindset Full driving license Eligible to live and work in Ireland THE COMPANY: We are Ireland's leading robotic packaging & automation provider offering cutting edge solutions to the pharmaceutical, life sciences, biotech, medical devices & food industries. From our large R&D manufacturing hub in Southern Ireland, we design, build & support high-performance systems that solve real-world production challenges and are trusted by Global brands. Our focus is to provide best in-class solutions in filling, wrapping, assembling and packaging. PROSPECTS: This role offers significant opportunity for an ambitious, experienced professional with a desire to develop their career with a growing and forward-thinking company and group with a track record and plans for strong growth. This is not just a senior management role, it is a career defining role that is supported by an experienced investor. The successful candidate will have the opportunity to co-own and scale a high-potential automation business through organic growth and targeted M&A, supported by an experienced shareholder with a proven value creation playbook. It is highly likely you will have worked in any of the following roles, Managing Director, Sales Director, Operations Director, Manufacturing Director, Site Director, Operations Director - packaging automation, capital equipment, robotics, machine building INTERESTED? Please click apply. You will receive an acknowledgement of your application. Wallace Hind Selection, alongside our client embrace diversity, champion equality, and foster inclusion to create a work environment where everyone belongs and thrives. Please Note: Wallace Hind Selection have been chosen as the retained recruitment partner of our client and therefore any direct applications to our client from candidates or agencies will be forwarded on to us direct. REF: IP18379, Wallace Hind Selection
